Senior Data Engineer
Tasks
- Build ETL pipelines across data storages
- Contribute to engineering best practices and knowledge sharing
- Create dashboards and reports
- Design and develop data analytics solutions
- Design and implement data models
- Develop unit tests for Databricks workloads
- Implement near real time processing
- Improve platform quality robustness maintainability and speed
- Manage data ingestion and batch processing
- Optimize queries for faster performance
- Perform SQL and DAX performance tuning
- Tune complicated SQL and DAX queries
Perks/Benefits
- Financial consultations
- Language courses
- Legal consultations
- Medical insurance
- Mental health support
- Paid certifications
- Udemy access
Skills/Tech-stack
Apache Spark | Batch Processing | DAX | Data Ingestion | Data Modeling | Databricks | Databricks DevOps | Delta Lake | Delta Tables | ETL | Pandas | Parquet | PySpark | Python | Real Time | Real-time Processing | SQL | Time processing | Unit Testing
Education
N/A
Roles
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