Data Engineer

• Strong expertise in advanced Snowflake, SQL, performance tuning, and warehouse optimization.

• Hands on experience building ETL/ELT pipelines using Snowpipe, Streams, Tasks, and stored procedures.

• Experience working with CI/CD and version control (GitHub and/or AWS/Azure DevOps) for data pipelines.

• Solid understanding of data engineering principles, including data quality, lineage, and monitoring.

• Exposure to fraud, risk, or compliance analytics, or other rule driven analytical systems.

• Familiarity with Python or Java for data processing or integration use cases.