Senior Data Engineer

Key Responsibilities:

• Write, optimize, and maintain complex SQL across MySQL, Aurora PostgreSQL, SQL Server, and Databricks (Spark SQL).
• Design, develop, and support data ingestion pipelines using API integrations, file ingestion, CDC patterns, and modern data engineering practices.
• Build and optimize Databricks Lakehouse architectures following the Medallion model (Bronze, Silver, Gold).

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science or related field with 3+ years of production SQL experience.
• Strong expertise with at least two relational databases and advanced knowledge of CTEs, window functions, and query optimization.
• 2+ years of experience building data pipelines using Python or PySpark.

Preferred Skills:

• Experience with Databricks Lakehouse architecture and Medallion patterns.
• Experience with AWS services like Aurora, Glue, S3, Lambda, and EventBridge.
• Background in Financial Services or FinTech environments.