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- Design,build,test and analyze solutions
- Provide data as per requirements
- Programming languages : Apache Spark, Python, SQL.
- Big Data architecture & Cloud concept experience
- Experience with message brokers Event Hubs, Kafka
- Understanding in Hadoop & ETL tools
- Over 7 years of experience as a Data Engineer
- Skill in Scala, Java, Python, and etc.
- Experience in Hadoop, Cloudera, Spark, and etc.
Data Platform Engineer (สังกัดบริษัท MSyne Innovation - MFEC Group of Company)
MSyne Innovations Company Limited- Building Enterprise data management platforms
- Hadoop, NoSQL DBs, Big Data warehouses
- AWS, Big Data, Linux, System
- Experience in AWS or Google cloud platform
- Programming experience in Python, R is plus
- Experience in data management end-to-end process
- Exp. on data engineer in insurance/ tech company.
- Proficiency in Python, Java, Spark, Hadoop.
- Any AWS Certificates is an advantage.
- 5 days working, Work From Home
- Proficiency in Thai / Good in English
- Google Data Engineer Certificate is a big plus
- Data Scientist, Data Engineer
- Proficient in SQL Statement
- Experience in data visualization(Power BI/Tableau)
- Drive with Passion in Cloud Technology
- Deep Dive on AWS and Related Technology
- Professional, Challenge, and Teamwork
- One of leading data center company
- Working with big players in data center business
- Attractive packages with international environment
- One of leading data center company
- Working with big players in data center business
- Attractive packages with international environment
Enterprise Data Architect & Platform Delivery Director/Enterprise Data Architect & Platform Delivery Director
Central Group (Centara Hotels & Resorts)- Computer engineer/science
- At least 10 years full time work experience
- proficiency in Workshop
- Knowledge in BW/4HANA is an advantage
- Knowledge in AWS tool is an advantage
- Knowledge in soft skill and project management
- 1+ years Experience of Data Engineer
- Location: BTS Ekkamai
- Working Day: Mon-Fri (WFA 1 day per week)
- Building and Maintaining data pipelines
- Manage Data Intergration & Data Platform
- Hybrid Working & Flexible Benefits
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