Data Engineer 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 Dev Ops 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.

• Mid-Senior level

• Full-time

• Other

• IT Services and IT Consulting

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