Data Scientist (TS/SCI with Poly Required)
Tasks
- Build production data pipelines
- Collaborate with stakeholders on data requirements
- Create containerized data processing services
- Deploy data applications in cloud environments
- Design data schemas and tune performance
- Develop ETL/ELT workflows
- Manage version control and CI CD for data pipelines
- Optimize SQL queries
- Orchestrate data workflows
- Process distributed data with Apache Spark
- Secure data and ensure compliance
- Troubleshoot data quality issues and pipeline failures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Lambda | AWS Step Functions | Amazon S3 | Apache Airflow | Apache Iceberg | Apache Ranger | Apache Spark | Apache Superset | Bash | CI/CD | Data Governance | Data Privacy | Data Quality | Data Testing | Docker | DynamoDB | ELT | ETL | Git | Infrastructure as Code | Java | LLM | MySQL | NoSQL | NumPy | Open AI | OpenLineage | Pandas | Podman | PostGIS | PostgreSQL | PySpark | Python | RAG | SQL | Step Functions | Terraform | Trino | Unity Catalog | Workflow Orchestration | “as-code”
Education
N/A
Roles
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