We are looking for a Senior Data Engineer with expertise in DataBricks and Data Engineering to join our team, working with one of the leaders in the automotive industry. The ideal candidate will have a deep understanding of DataBricks, Delta Lake, PySpark, and related technologies.
Job Title: Senior Data Engineer - Data Bricks
Location: Wipro Warsaw Office (Hybrid/2-3 days a week)
Experience: 7+ years
Rate: 1.000-1.200 PLN/day
Key Responsibilities:
- Design, develop, and manage data pipelines in the DataBricks Lakehouse Platform
- Work on Delta Lake, Delta Live Tables, and LakeFlow for batch and streaming data processing
- Utilize PySpark to orchestrate diverse workloads across the full lifecycle, including Delta Live Tables, data transformation, and more
- Leverage Unity Catalog and Delta Sharing for data sharing and catalog management
- Monitor and visualize performance, data quality, and reliability metrics using Delta Lake tables
- Collaborate on workflows and dashboards to track production job performance and data pipelines
- Strong experience in data modelling and BI skills
Required Skills:
- 8+ years of experience in Data Engineering
- Extensive experience with DataBricks, Delta Lake, PySpark, LakeFlow, Delta Live Tables, Unity Catalog, and Delta Sharing
- Strong understanding of DataBricks Lakehouse Solutions
- Proficient in data modeling and business intelligence
- Ability to work with both batch and streaming data on the DataBricks platform
Good to Have:
- Experience with Azure Data Factory or Fivetran
- Familiarity with PowerBI for reporting and data visualization
Notes:
- The ideal candidate will have a data engineering background rather than a data scientist profile.
- In-depth experience with DataBricks tools (not third-party tools) such as PySpark, LakeFlow, Delta Live Tables, Unity Catalog, and Delta Sharing is crucial.
- Familiarity with PowerBI is a plus, but it is not mandatory.
- Strong data modeling and BI skills are essential.
If you are a passionate Data Engineer with extensive experience in DataBricks and Data Engineering, we would love to hear from you!