Senior Databricks Data Engineer
Core
Design and build scalable data platforms in Databricks to enable trusted analytics, reporting, and AI-driven insights for a global automotive and powertrain environment.
Role type
Senior Databricks Data Engineer
Builds
Scalable data platforms including data lakes, lakehouses, data warehouses, enterprise data services, and ETL/ELT frameworks.
Domain
Automotive and powertrain industry; Cloud data engineering and enterprise analytics.
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Databricks, ETL/ELT patterns, batch and streaming concepts, orchestration, dependency management, error handling, advanced SQL, data modeling, metadata management, data governance, data quality controls, monitoring, performance tuning, cost optimization, Python or scripting for data transformation.
Preferred skills
Experience integrating data from multiple business domains (ERP, HR, Finance, CRM), production-grade operational support, mentoring.
Technologies
Databricks, ERP, HR, Finance, CRM systems.
Responsibilities
Design, develop, and maintain scalable data platforms; build and optimize data pipelines and integration workflows; create reusable data products; strengthen data quality, lineage, security, and governance; improve data operations through automation and tuning; translate business needs into technical solutions; contribute to engineering excellence via documentation and reviews.
Seniority
Senior, hands-on IC with architectural influence.
