Jobs for Data Science , Data analyst , BI

Job Descriptions:

• Develop and deliver solutions that merge business and data preparation
• Troubleshooting and correcting data and data processing errors in existing solutions
• Working with other business and technical teams in order to develop Data Analytic project
• Presales support for data Analytic project

 Qualifications Required:

• Bachelor's degree or higher in Computer Engineering or Computer Science or IT-related fields
• High ability of self learning 
• Willing to learn new technology with high learning curve 
• Good Personality with excellent communication skills 
• Good attitude toward team working and willing to work hard 
• Self-motivated and initiative
• SQL Statement
• Experience in programming languages:
   - Unix Shell script
   - Java 
   - Python
   - PERL
   - R 
• Experience in Big Data, Data lake or information management (will be an advantage)
• Experience in at least one of: (will be an advantage)
   - Spark
   - Kafka 
   - Solr/Lucene
   - NoSQL
   - Cloud Data Platform

MFEC PUBLIC COMPANY LIMITED
SJ Infinite One Business complex 11th floor, 349 
Vibhavadi-Rangsit Road, Chompol, Chatuchak, Bangkok,
Tel +66 (0) 2821-7999 #7817

Job Summary:

Wealth Management has become one of the fastest-growing areas in the global financial industry due to the increasing number of high net worth population and hence demands for the service.  Phatra Securities is a leading onshore wealth manager with a total clients’ asset under advisory of over 500 billion baht.  We serve our high net worth and institutional clients under PhatraWealth brand.

Data Engineer is part of the Data Analytics team in Investment Solutions Team.  Data Analytics team provides expertise in data to better serve client needs (e.g. client segment, evaluation of service) and also provides tools and solutions to support business needs and growth. Responsibilities of Data Engineer include:

• Create and maintain optimal data architecture
• Work across departments to gather and understand data
• Prepare data for predictive and prescriptive modeling
• Identify, design and implement internal process to improve data reliability, efficiency, and quality (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.)
• Develop systems and tools to support new and fast-growing business
• Extend new functionalities in the current systems to accommodate business needs

Qualifications:

• High caliber Bachelor's/Master’s degree in Computer Science, Computer Engineering or other related fields
• Knowledge of programming and experience working with data and software development
• Working knowledge with  SQL, C#, Java, Python, Javascript, or HTML will be advantageous
• Demonstrate strong problem solving skills
• Good team-player
• Self-motivation
• Good communication and interpersonal skills

Phatra offers career development, and is committed to developing each employee to

fulfill his/her potential.   Successful candidates can look forward to competitive remuneration package, fringe benefits and exciting career prospects. 

Interested applicants: Please send your detailed resume and salary history to:

The Human Resources Department

Phatra Securities Public Company Limited

8th Floor Human Resources Department, Muang Thai-Phatra Office Tower 1,

252/6 Ratchadaphisek Rd.,Huay-Kwang, Bangkok 10310 

Contact Ms. Arisa Udomsiri at 0-2305-9243  Fax. 0-2693-2632

(Applications will be treated with strictly confidential)

JOB DESCRIPTION for Data Engineer:

• Design, implement and develop Hadoop and ecosystems: Hive, Impala, Spark, Kafka
• Design and develop ETL data processing
• Design, implement and develop real-time or streaming process

Qualifications:

• Degree in Computer Engineer or Computer Science or Information Technology or Software Engineer or Data Science or related field
• Experience in data management, data warehousing or unstructured data environment
• Knowledge in Shell Script and Python
• Experience in SQL and NoSQL
• Experience in Reporting tool
• Strong capabilities to communicate clearly both in writing and presentations in Thai and English

   Please note that we will get in touch with shortlisted candidates only.

Salary: 50,000 THB + Benefits

Location: MRT

The Company + Tech Culture:

The company is an IT consultancy firm that has a strong reputation and partners with world leaders in IT technology. The company is focused on IT and full cycle implementation projects as well as Data Analytics and Data Solutions to provide the best analytics for their blue-chip clients.

As a Data Engineer, you will be working in a Data team including Data Scientists, in order to collaborate closely with the BI, Data Analytics and Data Science teams in order to provide quality data solutions to their clients.

This opportunity is fit for:

• Technically skilled data engineers or data scientists
• Someone with good knowledge and experience of machine learning, algorithm design, and data structures
• Enthusiastic Data Specialists who are keen to learn new BI tools and Data technologies

Responsibilities:

• Create and Design the data architecture, data transmission, and ETL to meet the requirements of the team.
• Be responsible for clean data structure design to facilitate the importation of large amounts of data
• Deliver a technical solution to query the data and the analysis of the data to meet the requirements of teams
• Develop and design data processes
• Build and optimize the database design models

Qualifications & Skills required:

• Bachelor’s degree in Computer Science, Information Technology or related field
• 2 years’ experience in Data Engineering, ETL, BI, and Big Data analytics
• Solid experience in Data Warehousing
• Proven experience with SQL programming
• Knowledge and experience in Google Cloud Platform
• This opportunity is open for Thai nationality only
• Intermediate level of English communication

If you want to step up your career development to work with an exciting IT consultancy and work with an exceptional team. Please do not hesitate to apply or contact: K. Thankamon (Book) at Cathcart Associates on 02-038-5878 for further information.

Responsibilities

• Establish the needs of users and monitoring user access and security
• Map out the conceptual design for a planned database
• Install and configure MySQL, MSSQL, Hadoop cluster, Hadoop eco systems and other Bigdata platforms
• Monitor performance and manage parameters in order to provide fast responses to front-end users
• Create database documentation, standards and procedures
• Develop, manage and test back-up and recovery plans
• Ensure MySQL, MSSQL and Hadoop operation procedures are functioning correctly
• Communicate regularly with technical, applications and operational staff to ensure database integrity and security

Requirements

• Bachelor’s degree in computer science or computer information systems
• 2 years of IT system administrator, Linux and shell or Python script
• Experience with MySQL, Microsoft SQL or Hadoop
• Ability to troubleshoot problems and quickly resolve issues
• Strong communication, analytical and research skills
• Knowledge of cloud infrastructure will be benefit

          Please note that we will get in touch with shortlisted candidates only.

Job Responsibilities:

• Work with BI Solution Architect and Business Analyst to translate requirements into technical specifications
• Understand data structure and meaning of both the sources and the targets in BI environment
• Create source-target mappings
• Define data ingestion & data operationalization strategy and perform required development
• Develop job scheduling routines
• Develop and/or implement BI-related solutions that meet requirements outlined in the design documentation
• Develop reports and dashboards using data visualization tool such as PowerBI, Tableau, etc.
• Apply established methodology, processes, and governance to BI solution delivery as well as contribute to development of new processes and the continuous improvement of existing processes leading to operational excellence for BI application areas
• Performs and/or coordinates quality assurance activities such as unit, system, integration testing
• Perform performance tuning to continually improve quality of BI environment

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or related fields
• 0-2 years of experience in developing data warehouse, big data, and business intelligence applications in a competitive service industry preferably in banking, financial services, or telecom industry
• Solid understanding of business intelligence applications such as Location Intelligence, Campaign Management, etc.
• Competent in UNIX/LINUX and mainstream BI tools
• Working knowledge of Hadoop/CLOUDERA, Cisco Data Virtualization, PowerBI, Tableau, and SAS is an advantage
• Good written and verbal communication skills in English and Thai

• Work among various teams of ended user, business analyst, system analyst, developer, operator, administrator, to define appropriate technical cloud solution for Big Data projects
• Coordinate with related parties to align and affirm discrete solutioning with roadmap
• Analyse the outline impact from diverse degree of changes
• Look forward on new technology for enhancement as a whole

Qualifications

• Bachelor's degree or higher in Computer Science, Information Systems, or related fields
• Possess knowledge of Big Data platform and integrations
• Solid understanding of business intelligence concept
• A strategic thinker !!! equipped with Cloud technology acumen and solutioning aptitude
• Strong interpretation and communication skills on both Thai and English

Job Responsibilities:

• Work with BI Solution Architect and Business Analyst to translate requirements into technical specifications
• Understand data structure and meaning of both the sources and the targets in BI environment
• Create source-target mappings
• Define data ingestion & data operationalization strategy and perform required development
• Develop job scheduling routines
• Develop and/or implement BI-related solutions that meet requirements outlined in the design documentation
• Develop reports and dashboards using data visualization tool such as PowerBI, Tableau, etc.
• Apply established methodology, processes, and governance to BI solution delivery as well as contribute to development of new processes and the continuous improvement of existing processes leading to operational excellence for BI application areas
• Performs and/or coordinates quality assurance activities such as unit, system, integration testing
• Perform performance tuning to continually improve quality of BI environment

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or related fields
• 5+ years of experience in developing data warehouse, big data, and business intelligence applications in a competitive service industry preferably in banking, financial services, or telecom industry
• Solid understanding of business intelligence applications such as Location Intelligence, Campaign Management, etc.
• Competent in UNIX/LINUX and mainstream BI tools
• Working knowledge of Hadoop/CLOUDERA, Cisco Data Virtualization, PowerBI, Tableau, and SAS is an advantage
• Good written and verbal communication skills in English and Thai

Job Descriptions:

• Work with clients and business analysts to provide end-to-end Business Intelligence solution ranging from data/system integration to analytical dashboard reporting by utilizing large structured and unstructured data from a variety of different sources.
• Participate in the full development life cycle from design, implementation and testing, to documentation, delivery, training, support, and maintenance for data services, analytics, reporting and data science solutions.
• Collaborate with senior members and business analysts to design and build data-integration solutions by developing source-target mapping specifications based on the business requirements.
• Select and integrate any Big Data tools and frameworks required to meet client's business and technical requirements.
• Work with clients and business analysts to design and develop analytical dashboard as requested.
• Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes in support of the requirements on both data warehouse and data lake platform and validate that they meet client's business and technical specifications.
• Create visualizations and reports for requested projects.
• Tackle code problems and data-related issues.
• Conduct unit testing and troubleshooting.
• Keep up to date with new newest trends and technologies in the analytics platforms, data integration, business intelligence tools and big data ecosystem to generate innovative ideas to solve business challenges and share expertise with the team.
• Exhibit superior attention to detail and pride in high quality deliverable.
• Handle other duties as assigned.

Job Qualifications:

Required qualifications

• Bachelor's or master’s degree in computer engineering/science, information system, statistics, mathematics, economics, finance, data science or other related fields.
• 0 - 2 years working experience responsible for database admin or data integration developer.
• Proficiency in SQL query usage to support investigation and analysis.
• Experience in one of the programming languages such as Python, Java, Scala, Bash, Ruby and any other language to solving data problems.
• Good knowledge of data modeling, and data warehousing.
• Sufficient knowledge in ETL concept, design and development.
• Passion for big data, software engineering, and AI.
• Eager to earn new technology deeply and quickly.
• Attention to detail.
• Very open-minded (eager to ask for comments/suggestions).
• Have a can do and will do attitude.

Preferred qualifications

• Experience in developing ETL processes on either structured data warehouse or unstructured data lake.
• Experience in designing data model/working with relation databases; i.e. Oracle, IBM DB2, MySQL, SAP, and MS SQL Server.
• Good understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
• Background in Data Mining.
• Be able to use other statistical programming languages such as R, SAS, MATLAB, STATA, etc.
• Experience with some of the data integration tools such as SAS DI, IBM DataStage, etc.
• Experience with Big Data tools; Hadoop, Hive, Spark, Kafka, or related big data technologies.
• Experience with BI technologies: Microsoft Power BI, Oracle BI, Tableau, Pentaho, etc.
• Experience with Stream Processing systems: Storm, Spark-Streaming, etc.
• Experience in Machine Learning related projects: Natural Language Processing, Knowledge/Text Analytic, etc.
• Experience with automation and CI/CD.
• Have experience working on a scrum team in an agile environment

Playtorium Solutions Company Limited
http://www.playtorium.co.th/
https://www.facebook.com/PlaytoriumSolutions/

Primary Responsibilities:

1. Performs 1^st Tier support, responds to incidents, provide troubleshooting and resolving problems and issues associated with group of Data analytics tools and related applications under responsibilities.
2. Work across IT teams (Application, Infrastructure and New Initiative/Project Management) to deliver the projects and resolve application issues.
3. Maintaining/Monitoring and ensures the highest levels the availability,integrity,capacity and performance of corporate data ecosystems to ensure that all data warehouses, databases, data integration jobs,data processing and reporting services are functional correctly.
4. Identifies opportunities for optimization by actively monitoring and exposing recurring issues, then works independently or with senior team members to implement proposed solutions.
5. Utilizes in-depth knowledge of corporate data structures and reporting environments to provide adhoc reports for day-to-day operational needs.
6. Provision in data governance, data security, and data accessibility including control access permissions and privileges accounts to meet IT standards/Data Provision Act.
7. Ensures that consistent and reliable database backups are taken at regularly scheduled intervals. This includes developing procedures and making recommendations to management as to the best way of maintaining a recoverable database.
8. Ensure the system documentations are maintained and up-to-date. These include Requirement documents, Functional and Technical design, Testing,Installation, Administrator Manual, User Manual and End-User Training documents.
9. Contributes to team effort by accomplishing related results as needed.
10. Performs miscellaneous job-related duties as assigned.

JOB REQUIREMENT

1. Bachelor's Degree or higher in Computer/IT or related fields.
2. Minimum of 2-5 year experiences in Database management, and development.
3. Strong knowledge in SQL/T-SQL, If have skills in Python,R or any other programming skills would be an advantage.
4. Hands-on experiences with relational database such as SQL Server, Oracle, and MySQL database is preferable. If also have knowledge in non-relational database or Big Data technology would be an advantage.
5. Basic understanding of data ecosystems and overall IT infrastructures.
6. Experience in Data Analytic tools and visualization tools or familiar with enterprise reporting package. If have background in hotel business would be an advantage.
7. Strong problem-solving skills with the ability to review complicated database problems, understanding flaws and recommending improvements or proposed solutions.
8. Strong analytical skill, able to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
9. Demonstrates strong communication skills - oral and written. Able to communicate with users effectively.
10. Enthusiastic to learn new things, initiative, self-supervised, self-motivated, highly responsible, and result oriented.
11. Service mind with positive attitude toward challenges and the drive to excel.
12. Good command of spoken and written English.

          We are opening 5 New positions in Data Engineer to serve the business in Big Data. 

Your role description;

               Have you heard about AI, Machine Learning, Big Data Analytics?  Join together to be a part of  building team for the Big Data Analytics and AI platform.

        To be a part of turning the organization data to be monetized business outcome.You will learn and have experience to work with  our Senior Data Engineer and Data Engineer from the world class of  Big Data and AI software partner e.g Cloudera, Hortonworks,EMC/Pivotal,Informatica,Qlik, Azure,Google,AWS,…

 Your Responsibilities;

           You will never be a routine development for Analytics platform, that’s why new generation  love it here. Below are wrap-up responsibility

• Take Hadoop and Eco-system ,in-house training on-line training or partner training and get certificate
• Build Big Data Analytics Cluster
• Assessment and Integration  Existing Customer  data source system
• Review or revisit customer data (Data Profiling)
• Design, implement and deploy  ETL/ELT to load data into Hadoop
• Implementation of  end-to-end Big Data solutions, including data acquisition, storage, transformation, and analysis.
• Knowledge Transfer to customer and operation support team

Your qualifications;

• Bachelor's degree or higher in Computer Engineering or Computer Science, Mathematics, Statistics or IT related fields
• Passion and enthusiastic
• Positive Thinking
• Good Communication and presentation skill
• Understand Data Warehouse and ETL concept
• Minimum 1 year of developing Python or PySpark or shell script
• Minimum 1 year of building and coding applications using Hadoop components - HDFS, Hive, Sqoop, Flume etc
• Minimum 2 year implementing relational data models
• Minimum 2 year understanding of traditional ETL tools & RDBMS

Your special qualifications willhave positive effect with salary ;

• Full life cycle Development
• Minimum 1 year of experience Developing REST web services
• Industry experience one of these (Banking or Financial, Telecom, healthcare, government, )
• Experience leading teams
• Data security method

 Interested applicants please click 'Apply' or submit your updated resume specifying your GPA, present and expected salary together with copy of transcripts, identification card, house registration certificate, and a recent photograph, certificate (if any) to :   

To design and implement data infrastructure (including data marts, data warehouse, business intelligence portal and common data sets) meeting the CRM & Pricing information management business requirements and initiatives; and manage the infrastructure operations to be effective

Job Description / Responsibilities:

• Implement data fields in Campaign Data Mart as planned by Head of Customer Data Infrastructure Section
• Design, implement, and monitor the data set flow preparation outside Campaign and Analytics to be efficiently executed within SLA
• Gather requirement, work with IT to follow up development, and lead user testing for data enhancement projects
• Provide BI consultation to the CRM & Pricing on Portal Content Design and usage
• Manage BI enhancement projects as assigned by Head of Customer Data Infrastructure Section
• Analyze data issues for impact scope, and propose a workaround, if necessary
• Investigate and fix BI Portal issues within scope of superuser, and if out of scope, provide necessary information to IT for issue resolution
• Support Head of Customer Infrastructure Section for data quality projects

Qualifications:

• Bachelor/ Master Degree in Computer Science, Engineering or related fields
• Minimum 4 years of experience in data marts, data warehouse, business intelligence portal and common data sets
• Good knowledge in RDBMS (Data Model) and Data Warehouse
• Understand IT management process
• Understand enterprise and self-service reporting technologies
• Good Communication and Coordination Skill
• Good Project Management Skill
• Good Analytical Skill
• Strong SQL Programming Skill
• Experience in SAS Programming, is preferable

Bank of Ayudhya Public Company Limited
1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
Talent Acquisition Center 0-2296-2000 ต่อ 86206

 At KBTG, we build our own platforms as well as service external well-known clients like PTTEP, LINE, GRAB and so on with an Open Platform technology structure. We dedicate to build new financial service experiences which aim to satisfy users the most and be part of their daily life.   

We are looking for an exceptional DATA ENGINEER who is passionate about data and insights of large data set. Strong business acumen with strategic thinking capability. Also, you will work closely with Data Scientist, Machine Engineer, Business Analysts and other stakeholders across the company.

Joining us, will provide you with intensive 2-month training in enterprise data architect, SQL technique, Hadoop as well as Data Stage. You will be in a best seat to be ready for real working environment.

Responsibilities:

• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance
• Maintain data dictionary, relationship and its interpretation
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes

• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis

• Develop big data solutions for batch processing and near real-time streaming
• Own end-to-end data ETL/ELT process framework of Data Lake from Data Source to Data Mart and Data Exchange with peripheral systems, with process alignment toKBANK policies and implement ETL/ELT Process
• Select and integrate appropriate tools and frameworks required to provide requested capabilities

• Design and develop BI solutions
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems
• Keep abreast of new developments in the big data ecosystem and learn new technologies
• Ability to effectively work independently and handle multiple priorities

Qualifications:

• Open for both fresh grad and experience to apply
• Bachelor's / Master degree in Computer Engineer, Computer Science, Information Technology, Mathematics, Statistics and/or related fields
• 2-5 years of experience in database design, data integration, data pipeline development, big data, or business intelligence applications in a competitive service industry preferably in banking, financial services, or telecom
• Working knowledge of DB2, Hadoop, Data Virtualization, Qlikview/Qliksense is an advantage
• Good written and verbal communication skills in English and Thai

Office Location: KBTG Building, Chaeng Wattana, Muang Thong Thani, Nonthaburi

Job Descriptions:

• Analyzing the business requirements and supports application development on top the Data Lake.
• Configures the applications according to business requirements
• Debug, troubleshoot, and fix configuration and integration issues
• Partner with Product development teams to in gathering technical analytics requirements
• Initiate idea for leverage usage on SCB Data Lake.

Qualifications:

• Programming knowledge: SQL, Java script, Web Services (both SOAP/WSDL), Oracle and PL/SQL, SQL Database, Unix Shell Script, Python, Django framework, HTML.
• Understanding of application development and technical requirements
• Curious mindset and willingness to learn
• Knowledge in application architecture is advantages.
• Work experience in large-scale application development project that involve at least 5 developers.
• Work experience in mobile application development is advantages.
• Communication skill in English conversation and written.

We are looking for a Data Engineer who will work on the data transformation and system deployment. The primary focus will be on understanding data science solutions of a particular problem, implement data transformations required, as web APIs . You will also work with a team of highly motivated members and integrate the solution in client environments.

Responsibilities And Duties

• Writing SQL queries
• Linking different tables into one table based on a provided schema
• Implementing data transformation (including ETL) for machine learning modelling
• System integration and testing

Qualifications And Skills (Requirement)

• Diploma, B.Eng or BS
• Hand-on experience working with SQL-based technologies on traditional RDBMS, such as Oracle, Postgresql or MySQL
• Proficiency in Python programming or Java

Qualifications And Skills (Good To Have)

• Database System Design
• Basic Knowledge on Machine Learning
• Experience with AWS services including S3, Redshift, EMR and RDS.
• DevOps tools such as Docker
• UI development

Benefits And Perks

• An exciting learning opportunity at a fast paced startup with open and friendly colleagues
• Competitive salary based on skills & experience with excellent insurance and other benefits.
• Opportunity to work with best data scientists in the world,including Kaggle Grand Master
• Deliver high impact solutions for prestigious clients across ASEAN, India, and Hong Kong.

Data Engineer 

Location: Jatuchak

 Responsibilities:

• Manipulate complex data from different sources
• Select and integrate any big data tools and frameworks required to provide requested capabilities
• Implement ETL process
• Monitor performance and advise any necessary infrastructure changes.
• Work within a team supporting software and data system development, training and integration & test infrastructure.
• Identify and solve business challenges utilizing large structure and unstructured data from different sources.

Qualifications: 

• THAI Nationality only
• Bachelor's degree or higher in Computer Sciences or other related fields (GPA 2.75 in Engineering, 3.00 in IT or other related field)
• Have knowledge in variety of data structure, database and data warehouse (e.g. structure data, unstructured data, data management)
• Experience with ETL techniques that enable data ingestion, data blending, and data integration
• Understanding of Big data ecosystem for modeling development purposes.
• Have experience in programming languages (R, Phython, SQL, etc.) to extract, load and transform data.
• Good knowledge of business intelligence tools such Power BI, Tableau, Business Objects, or Qlink, a plus
• Excellent communication skills to convey messages between technical & non-technical teams
• Quick learner, looking for new challenges
• Have passion in big data, software engineering and systems
• A CAN DO attitude and friendly disposition.
• NEW GRADS are welcomed
• Good command of English (TOEIC: 550)

"Great Job, Great Working Environment, Great Salary and Benefit is waiting for you" 

Send your resume “NOW” 

or call  for more detail at “02-140-2987”

บริษัท พีทีที  ดิจิตอล โซลูชั่น จำกัด

Website : www.pttdigital.com

Responsibilities

• Develop big data solutions for batch processing and near real-time streaming
• Retrieve, prepare, and process a rich data variety of data sources
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis
• Keep abreast of new developments in the big data ecosystem and learn new technologies
• Triage code problems and data-related issues
  

Qualifications

• 3+ years of experience with relational database systems, with expertise in SQL
• 3+ years of programming experience in Java, Python, Scala or similar
• 3+ years of experience in coding in data management, data warehousing or unstructured data environments
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar
• Experience building complex pipelines using automated workflow is a plus, e.g. Luigi, Airflow, Oozie or similar
• Experience with parallel data processing is a plus, e.g. MapReduce, Hadoop, Spark or similar
• Experience with streaming technologies is a plus, e.g. Kafka, AWS Kinesis or similar
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, PowerBI, Google Analytics or similar
• Experience with Machine Learning is a plus, e.g. TensorFlow, NumPy, Scikit-Learn, Mahout or similar
• Good communication in English

Responsibilities:

• Work with business domain experts to identify data that is relevant for analysis
• Implement solution for data services for internal customers
• Retrieve and prepare data (automated if possible) to support marketing campaigns and business analysis
• Support and troubleshoot for data services provided
  
  

Qualifications:

• Experience with relational database systems and good command inSQL
• Experience with cloud-based platforms such as AWS, Google Cloud platform, etc.
• Experience with web or software development with Java, .NET, Python or similar
• Experience with scripting languages such as Python, Powershell 
• Experience with Business Intelligence tools and platforms is a plus, e.g. Google Sheets, QlikView, PowerBI, Google Data Studio, etc. 
• Good communication in English
• Excellent interpersonal and communication skills

Job Summary:

CREA is looking for a tech passionate, enthusiastic data engineer to help us develop and deploy a big data strategy.

CREA is an exciting new startup offering many perks for hard-working software engineers looking to expand their programming skills and grow their career. Strong and open communication is essential.

We are looking for an experienced engineer who has the ability to inform our data and analytics standards from the ingestion side, ensuring our business is set to scale quickly.

Job Responsibilities:

• Build and optimize multiple databases
• Aggregate data from multiple sources via automated pipelines
• Write and run web scraping scripts
• Setup monitoring and alerting triggers
• Work with business stakeholders to understand data requirements
• Build scalable solutions for our data warehouse and logging infrastructure
• Manage data access and security in partnership with our systems administrator

Qualifications:

• Related experience in a professional capacity for 6 or more years
• Ability to pick up and learn new languages and tools quickly
• Experience with multiple languages and platforms
• Experience with SQL databases: MySQL, PostgreSQL, or similar
• Experience with big data tools like Google BigQuery or AWS Redshift
• Experience building data pipelines using Kafka, Kinesis, Streamsets, or similar
• Strong knowledge of data and analytics best practices

Responsibilities:

• Analysis large scale of data by using Big Data tools like Hadoop, Spark, SQL, and Python.
• Provide insightful visualization and explanation of the results to support management team for decision making.
• Improves the data availability by acting as a liaison between analytics team and source systems.
• Collects, blends, and transforms data using streaming integration tools.
• Identifying business problems and use cases which can be resolved by data analyst techniques
• Maintenance, improvement, cleaning, and manipulation of data in the business’s operational and large-scale processing systems architectures.
• Works with customer analytics teams in order to understand the implementation of database requirements, analyze performance, and troubleshoot any existent issues.
• To be an expert in SQL development further providing support to the Data and Analytics in database design, data flow and analysis activities.

Qualification:

• Thai nationality, age between 26-35 Years old.
• Bachelor’s Degree or higher in Computer Engineering, Computer Science, IT or any related field.
• At least 3-5 years’ experience in Big Data technology, data analyst and system development.
• Possess knowledge of Big Data platform and integrations.
• Technical skill in Hadoop, Spark, SQL, and Python
• Good in analytical, decision making, problem-solving and communication skills.
• Good command of written and spoken English.

Interested applicants please click 'Apply Now'

AP (Thailand) Public Company Limited

170/57 Ocean Tower 1, 19th Floor,
Rachadapisek Road, Klongtoey, Bangkok 10110
Tel : 02-261-2518 ต่อ 636 (คุณอภิรักษ์)

www.apthai.com

Responsibilities:

• Selecting and integrating big data tools and frameworks required to provide requested capabilities. 
• Working with the data science team to deliver complete data solutions. 
• Monitoring performance and advising any necessary infrastructure changes. 
• Defining data policies. 

Qualifications:

• Degree in IT-related fields. 
• 1-2 year's experience in Data Management or Data Engineer. 
• Excellent knowledge in Distributed System, SQL, ETL, Python, and Linux. 
• Experience with Cloud Infrastructure: AWS, Azure or GCP. 
• Good knowledge of tools and frameworks in big data ecosystems, such as Apache Airflow, Apache Kafka, Apache Hive, Apache Hbase. 

Central Tech is subsidiary of Central Group which is well-known as the biggest retail in Thailand. Our job is to build the best technology team that will make Central Group a leading player in online e-tailing worldwide.

We scout and search out for the best talent to help us develop the infrastructure and platform to improve the quality of life of people by allowing access to quality products and services from Central Group anywhere anytime as it should be number one retailer in Thailand.

What you will be doing:

• Build data platforms the empowers Data Science, Business Intelligence and Backend Microservices. 
• Develop tools to enable adoption and scale complex distributed systems like Kafka, Elasticsearch & Redis across all platforms
• Manage complex distributed systems like Kafka, Elasticsearch & Redis in container environment like Kubernetes
• Build fault tolerant data pipelines on Spark Streaming, Kafka Streams and Kafka Connect
• Write Spark jobs that refresh Data Science models and Data Warehouse
• Orchestrate data pipelines using Airflow or Argo
• Develop Data Science Microservices that can run in Service Mesh environment 
• Participate in hiring process & choose your team members to fill positions with best candidates.

What we require:

• Experience in building fault tolerant, self-healing, adaptive and highly accurate data computational pipelines.
• Ability to develop micro services that can work with Event Driven Architecture and Container Orchestration system
• Strong background in Algorithms, Software Design Patterns & Micro-services.
• Proven experience in one of the following: Kafka, Spark, Istio/Linkerd or Redshift/Vertica.
• Willingness to learn new technologies.
• Knowledge (or willingness) to learn best practices about Kubernetes.

What we offer:

• Flexible Working Time
• Free-Flow Snacks & Drinks
• Monthly Team Building Budget
• Monthly Lunch Allowance
• Get Special Bonus for recommending your friends
• Taking your birthday off
• Free gym
• Free Udemy online training
• Tech Talk & Pizza Friday
• Annual Outing & Christmas Party
• Project Success Celebration
• Career roadmap for all staffs showing how you can progress.

More About Us

https://www.central.tech/

https://www.facebook.com/centraldottech/

หน้าที่และขอบเขตการทำงานโดยย่อ

1. Designed, tested, and maintaining data management and processing systems
2. Worked closely with team members, stakeholders, and solution architect.
3. Oversaw the complete ETL process.
4. Uncovered data acquisition and analysis opportunities.
5. Install, configure, upgrade, patch, and backups/recoveries Database.
6. Develop set processes for data mining, data modelling, and data production.
7. Problem management root cause analysis and provide permanent solution.

ทักษะและประสบการณ์ / คุณสมบัติพิเศษที่ต้องการ

1. เพศชายเท่านั้น
2. อายุ 24-30 ปี
3. มีความรู้เกี่ยวกับ Data pipelines
4. มีความสามารถ Programming skills: SQL, R, Python, Java, etc
5. มีความรู้เกี่ยวกับ Cloud: Amazon Web Services (AWS), Microsoft Azure,
6. มีความสามารถด้าน Database skills: IBM DB2, Oracle, MySQL, MongoDB
7. มีความรู้เกี่ยวกับ ETL Pipelines
8. มีประสบการณ์ Data analysis
9. มีประสบการณ์ด้าน computer operation and/or administration of Windows/Linux
10. มีประสบการณ์เกี่ยวกับ Big data: Hive, Pig, Spark, Hadoop, MapReduce, etc

Interested applicants are invited to apply in person or send application with full resume indicating qualifications and experience, transcript, expected salary and 1 recent photo to Human Resources Department at

Website: www.metrosystems.co.th

Roles and Responsibilities :

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Develop and implement ETL routines according to the DWH design and architecture.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Cloud Platform  within structured data warehouse environment.
• Keep our data separated and secure across national boundaries through multiple data centers and multi cloud platform.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Any ad-hoc.

Qualifications :

• Bachelor's degree or higher in Computer Science, Information Systems, or related fields.
• Possess knowledge of Big Data platform and integrations.
• Competent in programming language on (SQL, Shell Script, and UNIX/LINUX Experience with (Oracle, SQL, Vertica, etc.) and using PL/SQL or other data integration/ETL tools.
• Understanding of new technologies like HDFS and NOSQL a plus.
• Good communication skills and coordinating skill.

PTG Energy Public Company Limited

 90 CW Tower, Tower A,

 33rd Floor, Ratchadaphisek Road,

 Huaykwang, Bangkok  10310

 Tel: 02-168-3377, 02-168-3388 ต่อ 747

 www.ptgenergy.co.th

Job Description

1. Develop, construct, test and main architectures to store and process big data.
2. Ensure architecture will support the requirements of the business.
3. Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis
4. Discover opportunities for data acquisition from both internal and external data.
5. Develop dataset process for data modeling, mining and data application production.
6. Recommend ways to improve data reliability, efficiency and quality.

Qualification

1. degree specialized in Statistics, Computer Science or related fields
2. 3+ years’ Experience with ETL data pipeline in various forms/data source
3. Experience in Data Mining/Analytic tools e.g. R, Python
4. Database Management Skill both SQL and NoSQL.
5. Capability to architect highly scalable distributed systems, using different open source tools and cloud infrastructure
6. Strong analytical and problem-solving skills