- Can I apply
- Open to any education · 5–9 yrs
- Pay
- Pay not stated
- Source
- From the company's careers page · today
- How to apply
- On TIAA's own site
Early: posted 1 h ago on their own site
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About the role
We are seeking a highly experienced Senior Data Engineer to design, develop, and optimize scalable data pipelines in a cloud-based environment. The ideal candidate will have deep expertise in PySpark, SQL, Azure Databricks, and experience with either AWS or GCP. A strong foundation in data warehousing, ELT/ETL processes, and dimensional modeling (Kimball/star schema) is essential for this role.
What you need
- 7–9 yrs of experience
- SQL
- Spark
- AWS
- Data warehousing
- Databricks
- Azure Data Factory
- Any graduate
Good to have
- Azure
- CI/CD
- Git
- ETL
- Data modelling
- Snowflake
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