About this role
• 8+ years of experience in data engineering, with strong focus on Azure Databricks. • Proficiency in: 1. PySpark 2. Spark SQL 3. Delta Lake • Deep expertise in dimensional modeling and data warehousing concepts. • Experience with: 1. Building scalable production pipelines 2. Incremental data loads and CDC patterns 3. Performance optimization in distributed systems Strong understanding of relational databases and ability to interpret complex SQL/stored procedures Good to have • Experience with: 1. Lakeflow / Spark Declarative Pipelines or dbt 2. Unity Catalog • Exposure to financial/General Ledger data models • Familiarity with JD Edwards systems, including: 1. F0902 (balances) 2. F0911 (journal details)