Data Engineer (Databricks)
WARSAW PLANT & GO, Poland
R
PLN 129K-136K (estimate) Mid-level Full Time
Tasks
- Analyze bugs and incidents
- Assemble and prepare large datasets
- Build data pipelines and implement ETL and ELT
- Collaborate on data architecture and integration patterns
- Deliver work in an Agile Scrum team
- Design and develop data solutions in Databricks
- Ensure data quality and reliability
- Identify and reduce technical debt through infrastructure revamp
- Improve and automate internal processes
- Manage Databricks clusters and schedule jobs
- Perform data transformation and analysis using PySpark
- Provide L3 support for data processes
- Write complex SQL queries and tune performance
Perks/Benefits
- Hybrid work model
- Private health care
- Savings plans
- Sport cards
- Stock plans
- Training and certification paths
Skills/Tech-stack
Cloud platform | Cluster management | Data Lake | Data Modeling | Data Quality | Data Warehousing | Data integration | Databricks | Dimensional Modeling | ELT | ETL | GCP | Google Cloud | Google Cloud Platform | Job Scheduling | Notebook development | PySpark | SQL | Workflow Orchestration
Education
N/A
Roles
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