Title: Senior Technical Specialist - PBI Databricks

Location: Remote

Duration: 12+ Months

Education: Any Degree

Exp Level: 8+ Years

Responsibilities:
- Design and build conformed dimensions and transactional fact tables for enterprise reporting.
- Develop and maintain data pipelines on A zure Databricks using PySpark, Spark SQL, and Delta Lake.
- Implement best practices in dimensional modeling, including:
- Star schemas
- Conformed dimensions
- Surrogate and deterministic hash keys (e.g., SHA-256)
- Transactional fact design
- Translate existing SQL Server and stored procedure logic into efficient Spark-based transformations.
- Implement incremental data processing and change data capture (CDC) pipelines.
- Ensure data reconciliation with source systems to meet accuracy and audit standards.
- Collaborate closely with a senior Databricks lead to deliver core data assets within defined timelines.





Required Skills:
- 8+ years of experience in data engineering, with strong focus on Azure Databricks.
- Proficiency in:
PySparkSpark SQLDelta Lake
- Deep expertise in dimensional modelling and data warehousing concepts.
- Experience with:
Building scalable production pipelinesIncremental data loads and CDC patternsPerformance optimization in distributed systems
- Robust understanding of relational databases and ability to interpret complex SQL/stored procedures

Good to have

Experience with:
- Lakeflow / Spark Declarative Pipelines or dbt
- Unity Catalog
- Exposure to financial/General Ledger data models
- Familiarity with JD Edwards systems, including:
F0902 (balances)F0911 (journal details)

📌 Senior Technical Specialist (Mumbai)
🏢 Datavail
📍 Mumbai