About this role
Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.
Title: Senior Technical Specialist - PBI Databricks
Location: Remote
Duration: 12+ Months
Education: Any Degree
Exp Level: 8+ Years
Job Responsibilities
- Design and build conformed dimensions and transactional fact tables for enterprise reporting.
- Develop and maintain data pipelines on Azure 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:
- PySpark
- Spark SQL
- Delta Lake
- Deep expertise in dimensional modelling and data warehousing concepts.
- Experience with:
- Building scalable production pipelines
- Incremental data loads and CDC patterns
- Performance optimization in distributed systems
- Strong 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)