Data Engineer I
Tasks
- Audit data for completeness accuracy timeliness
- Automate manual data processes
- Build ETL/ELT pipelines
- Build data lakes warehouses marts
- Build data models and views
- Create data tools for analytics and data science
- Design data pipeline architecture
- Develop reusable reporting and dashboard components
- Enable self-service analytics
- Ensure data governance and security
- Ensure high availability disaster recovery
- Implement CI/CD pipelines for data workflows
- Implement data validation anomaly detection cleansing
- Implement schema design indexing partitioning
- Optimize pipeline performance
- Support data stewardship and master data management
- Translate business requirements into technical specifications
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | Azure | BigQuery | C plus plus | CI/CD | Data Cleansing | Data Governance | Data Lake | Data Management | Data Mart | Data Modeling | Data Validation | Data Warehouse | Disaster Recovery | Disaster Recovery Planning | DynamoDB | EC2 | ELT | EMR | ETL | FHIR | GCP | Glue | HIPAA | HL7 | Hadoop | Java | Kafka | Master Data | Master Data Management | Message queuing | Metadata | NoSQL | Python | RDS | Recovery Planning | Redshift | SQL | Scala | Snowflake | Spark | Stream processing
Education
N/A
Roles
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