Data Engineer I
Tasks
- Audit data quality for completeness accuracy and timeliness
- Automate manual data processes
- Build ETL/ELT pipelines
- Build data lakes warehouses and marts
- Configure cloud storage and compute for data workloads
- Design data pipeline architecture
- Develop data models and views
- Enable self-service analytics
- Ensure HIPAA compliant pipelines
- Implement CI/CD pipelines for data workflows
- Implement data validation cleansing and anomaly detection
- Implement schema design indexing and partitioning
- Mentor junior data engineers
- Optimize pipeline performance
- Support data governance and security
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon Redshift | Azure | BigQuery | CI/CD | Data Governance | Data Modeling | Data Pipelines | Disaster Recovery | DynamoDB | EC2 | ELT | EMR | ETL | FHIR | GCP | Glue | HIPAA | HL7 | Hadoop | Kafka | NoSQL | Python | RDS | SQL | Snowflake | Spark
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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