Data Engineer
3 weeks ago
As a Senior Data Engineer at Virtusa, you will be responsible for designing and implementing data pipelines using Python and AWS services. You will work with cross-functional teams to understand data requirements and design solutions that meet business needs. Your expertise in big data concepts, AWS, and PySpark will be crucial in developing and maintaining data platforms. Additionally, you will lead the integration efforts with the internal Archival Service Platform for seamless data purging and lifecycle management.
Key Responsibilities
- Design and implement data pipelines using Python and AWS services
- Work with cross-functional teams to understand data requirements and design solutions
- Develop and maintain data platforms using Python
- Lead the integration efforts with the internal Archival Service Platform
- Collaborate with the data engineering team to continuously improve data integration pipelines
Requirements
- 6+ years of experience in big data concepts, AWS, and PySpark
- Hands-on development experience with various Ab Initio components
- Experience with SQL database programming, SQL performance tuning, and relational model analysis
- Good knowledge in developing UNIX scripts and Oracle SQL/PL/SQL
- Experience with AWS services such as S3, Athena, and Glue
Preferred Qualifications
- Education: Any degree or equivalent
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