Data Engineer
Tasks
- Build production data pipelines
- Deploy data applications in cloud environments
- Design data schemas and tune database performance
- Develop and optimize SQL queries
- Implement ETL/ELT workflows
- Manage version control and CI CD for data pipelines
- Orchestrate data workflows
- Perform data security privacy governance compliance
- Troubleshoot data quality issues pipeline failures performance bottlenecks
Perks/Benefits
- 100 percent employer paid health coverage
- 401k match
- Bonuses
- Paid time off
- Professional development
- Tuition reimbursement
Skills/Tech-stack
AWS Lambda | AWS S3 | AWS Step Functions | Agile Scrum | Apache Airflow | Apache Iceberg | Apache Ranger | Apache Spark | Apache Superset | Bash | CI/CD | CloudFormation | Data Governance | Data Privacy | Data Quality | Data Security | Docker | DynamoDB | ELT | ETL | Git | H3 | Infrastructure as Code | Java | LLM | MySQL | NoSQL | NumPy | OpenLineage | Pandas | Podman | PostGIS | PostgreSQL | PySpark | Python | RAG | SQL | Step Functions | Terraform | Trino | Unity Catalog | Unity Catalog OSS | Workflow Orchestration | “as-code”
Education
N/A
Roles
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