Data Engineer
USD 87K-123K Mid-level Full Time
Tasks
- Build data pipelines
- Collaborate with cross-functional teams to deliver data products
- Design governed enterprise data pipelines
- Ensure data quality with testing monitoring and CI CD
- Implement data privacy and governance controls
- Implement layered data modeling and Lakehouse design patterns
- Maintain ETL/ELT workflows
- Monitor and tune Spark and Databricks workloads
- Transform raw data into data products
- Troubleshoot data pipeline issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | Azure DevOps | CI/CD | Data Contracts | Data Governance | Data Lineage | Data Privacy | Data Quality | Data Quality Testing | Data SLAs | Data masking | Databricks | Databricks Repos | Databricks Workflows | Deequ | Delta Lake | Delta Lake Optimization | Delta Lake Schema | Delta Lake Time Travel | Delta Lake schema evolution | EC2 | ELT | ETL | GCP | Git | GitHub Actions | GitLab CI | Great Expectations | Lambda | PII | Python | Quality testing | RBAC | S3 | SQL | Schema evolution | Time Travel | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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