Data Engineer for Big Data Migration

5 days ago


Singapore U3 Full time
About the Role

We are seeking an experienced Data Engineer to join our team at U3 Infotech. As a key member of our data engineering team, you will be responsible for designing and implementing scalable data pipelines and data services modules with robustness in mind to support the growing demands from business users.

Key Responsibilities
  1. Design and implement ETL pipelines using Informatica BDM (DEI) on data warehouses and big data platforms such as RDBMS, Hadoop, Snowflake.
  2. Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
  3. Work closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
Requirements
  1. Bachelor Degree in Computer Science, Computer Engineering or equivalent.
  2. At least 5 years' experience of working as a data engineer in big data field.
  3. Solid working knowledge of implementing ETL pipelines using Informatica BDM (DEI) on data warehouses and big data platforms, such as RDBMS, Hadoop, Snowflake.
  4. Familiar with application integration with RDBMS such as Oracle, MS-SQL or MySQL.
  5. Working knowledge of Oracle and MS-SQL will be a plus.
  6. Hands-on experience of using Linux (or Unix-like OS) as the development environment and familiar with shell scripts and command line tools in Linux/Unix environment.
What We Offer

We offer a competitive salary of $120,000 per annum, depending on experience. Additionally, we provide a comprehensive benefits package, including health insurance, retirement plan, and paid time off.

About Us

U3 Infotech is a Technology Solutions, Managed Services, and Talent Management Solutions company with over 2 decades of experience in the APAC region since 2002. Our clients include Fortune 100, MNCs, Leading Regional Organizations, Government organizations, and Start-ups. We work with clients across Banking, Insurance, Bio-Science, Pharmaceutical, Healthcare, Engineering, Product, and Supply Chain domains.



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