Data Engineer (Junior-Mid)
Tasks
- Design data pipelines
- Develop data pipelines
- Load data into systems
- Maintain ETL/ELT processes
- Monitor data workflows
- Process datasets with PySpark
- Resolve system performance issues
- Schedule data workflows
- Troubleshoot data processing issues
- Use Spark SQL
- Validate data quality
- Write SQL queries
Perks/Benefits
- Ad hoc trainings
- Commuting allowance
- Continuous learning opportunities
- Health insurance
- Hybrid work
- Life insurance
- Meal allowance
- Onboarding buddy
- Udemy for Business access
- Well-being activities
Skills/Tech-stack
AWS | Apache Airflow | Azure | Cloud Platforms | Data Quality | Data Validation | Databricks | Distributed Computing | ELT | ETL | GCP | IBM DB2 | Jupyter | Notebooks | Oracle | PostgreSQL | PySpark | Relational databases | SQL | SQL Server | Spark SQL
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Systems
Roles
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