Data Engineer (Junior-Mid)
Tasks
- Collaborate on data integration and validation
- Design and develop scalable data pipelines
- Maintain ETL/ELT processes
- Support orchestration of data workflows with Apache Airflow
- Troubleshoot data processing issues
- Use PySpark and Spark SQL for distributed data processing
- Write SQL queries for data extraction and transformation
Perks/Benefits
- Commuting allowance
- Continuous learning
- Development plan
- Health insurance
- Hybrid working
- Life insurance
- Meal allowance
- Onboarding support
- Well-being activities
Skills/Tech-stack
Apache Airflow | Bash | Cloud Platforms | Communication | Data Pipelines | Data Processing | Data Validation | Data integration | Distributed Computing | NoSQL | Notebooks | Problem Solving | PySpark | Python | Relational databases | SQL | Spark SQL
Education
Roles
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