Data Engineer with Python / SQL - Onsite (Fulltime)
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- A Senior Data Engineer with strong programming experience in building ETL / ELT programs using SQL, Python, and DBT.
- 10 years of overall experience with 5+ years of experience in developing production-ready data ingestion and processing pipelines using Python and SQL.
- 3+ years of experience in ETL / ELT pipeline development with DBT and Snowflake.
- Strong hands-on experience with Airflow is preferable.
- Recent experience as a Senior Data Engineer in public cloud environments (preferably Azure) and cloud warehouses like Snowflake.
- Proven experience in cloud-native solutions with Azure, including DevOps CI / CD tools and containers.
- Strong analytical skills for technical metadata, pipeline logs, and data lineage to support data platform operations.
- Background in banking / capital markets or financial data is a plus.
- Passionate about data observability, monitoring, and scalable data architecture.
Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
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