About the role
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Key responsibilities
- check_circleCollaborate with the team on day-to-day project tasks
- check_circleLearn tools and processes used by the organization
- check_circleDocument work and participate in team meetings
- check_circleSupport quality checks and continuous improvement
Requirements
- check_circleBuild scalable pipelines using Databricks (DLT, Autoloader, Workflows) and Azure services
- check_circleExtend metadata-driven ingestion frameworks (declarative, reusable)
- check_circleDevelop modular PySpark code and libraries (WHL packaging)
- check_circleImplement Delta Lake patterns (CDC, SCD Type 2, merges)
- check_circleOptimize SQL workloads for performance and cost
- check_circleOrchestrate pipelines via Synapse or UC4
- check_circleApply data modeling (Kimball, 3NF, lakehouse)
- check_circleImplement CI/CD with Azure DevOps
- check_circleEnforce governance via Unity Catalog
- check_circleMentor engineers and contribute to engineering standards
Skills & keywords
Benefits & perks
- check_circleMentorship
- check_circleCertificate of completion
- check_circleFlexible work arrangement where applicable