Data Engineer III
Innovation Point, United States
USD 105K-189K (estimate) Senior-level Full Time
Tasks
- Build Data Integration solutions
- Build data extraction, transformation, loading infrastructure
- Conduct root cause analysis on data issues
- Create data models and schemas
- Design data pipelines
- Develop ETL and ELT mappings
- Evaluate and run proof of concept for new technologies
- Implement data virtualization
- Implement data warehouses and data lakes
- Implement master data management
- Maintain reliable efficient testable pipelines
- Optimize pipeline performance and reduce query cost
- Peer review data models and code
- Perform unit, integration, and system testing
- Support data governance and data quality
- Test data sources and validate data integrity
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | AWS Glue | AWS Lambda | Alteryx | Amazon DynamoDB | Amazon EC2 | Amazon EMR | Amazon Kinesis | Amazon Redshift | Amazon S3 | Apache Kafka | Apache Spark | CI/CD | Data Governance | Data Lakes | Data Management | Data Modeling | Data Processing | Data Quality | Data Warehousing | Data integration | Data virtualization | Database performance | Database performance tuning | Databricks | ELT | ETL | Hadoop | Informatica | Kafka Streaming | MS SQL | MS SQL Server | Master Data | Master Data Management | NoSQL | Performance Tuning | PostgreSQL | Profisee | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | SQL Server | SSIS | Scala | Snowflake | Streaming Data | Talend
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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