Job Description:
- 4-8 Years experience in data warehousing, ETL processes, and data analytics.
- Good experience in developing, maintaining, and testing infrastructures for data generation, verification and transformation.
- Good understanding of database concepts (SQL, Cloud DBs)
- Strong SQL query, profiling and troubleshooting skills
- Good understanding of AWS Data related concepts like big data, big query etc.
- Basic understanding of AWS (or supported) ETL tools - Glue, Airflow, etc etc. would be an added advantage
- Good Understanding of Python programming
- Basic understanding of programming languages like C# or similar
- Basic knowledge of working in scrum/agile teams and tools like JIRA, confluence etc
Keyskills: Airflow Glue data warehousing AWS SQL etl process
UST Product Engineering is the global products and platform engineering services division of UST. We partner with leading independent software vendors (ISV) and enterprises to convert ideas into commercial off-the-shelf products, or modernize them at speed, scale and cost. Our vision is to be a m...