Senior Data Engineer
Tasks
- Assess platform quality robustness maintainability and speed
- Build dashboards and reports
- Cross train team members on developed technologies
- Design data models and implement data solutions
- Develop and deploy data analytics solutions
- Develop and maintain unit tests for Databricks
- Implement data ingestion and transformation pipelines
- Improve data storage and processing efficiency
- Optimize reports and dashboards performance
- Perform ETL for real time and batch processing
- Tune SQL and DAX query performance
Perks/Benefits
- Company paid medical insurance
- Company-paid certifications
- Financial consultations
- Internal events and meetups
- Language courses
- Legal consultations
- Mental health support
- Remote work
- Udemy access
Skills/Tech-stack
Apache Spark | Batch Processing | DAX | Data Ingestion | Data Modeling | Data Transformation | Databricks | 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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