PySpark Developer
Hartford, Connecticut, United States
A USD 110K-144K (estimate) Mid-level Full Time
Tasks
- Build and maintain data lakes and data warehouses
- Collaborate with cross-functional teams
- Design scalable data pipelines
- Develop ETL jobs
- Ensure data governance and security compliance
- Implement distributed data processing solutions
- Optimize data workflows performance
- Process structured and unstructured datasets
- Troubleshoot big data pipeline bottlenecks
- Write maintainable, documented code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Azure | BigQuery | CI/CD | Data Lakes | Data Warehouses | Databricks | Dataflow | Distributed Computing | ETL | Google Cloud | Hadoop | MySQL | NoSQL | Oracle | PostgreSQL | PySpark | Python | S3 | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Big Data Engineer | Data Engineer | Developer | Engineer | PySpark Developer | Python | Python Developer
Regions
Countries
States
Cities
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