Data Engineer III
Tasks
- Analyze data landscape for gaps and deficiencies
- Apply data virtualization
- Build data warehouses and data lakes
- Conduct root cause analysis
- Contribute to data architecture standards
- Design data models and schemas
- Design data pipelines
- Develop ETL/ELT mappings
- Ensure data governance and data quality
- Evaluate and run proof of concept on new technologies
- Implement data integration solutions
- Implement master data management
- Maintain reliable efficient testable pipelines
- Optimize query performance and reduce cost
- Perform code reviews and continuous integration deployment
- Perform unit, integration, and system testing
- Support data storage solutions
- Transform and optimize data flow
Perks/Benefits
- N/A
Skills/Tech-stack
API | AWS | AWS Glue | AWS Lambda | Alteryx | Amazon DynamoDB | Amazon EC2 | Amazon Kinesis | Amazon Redshift | Amazon S3 | Apache Kafka | Apache Spark | Data Governance | Data Lakes | Data Management | Data Modeling | Data Processing | Data Quality | Data Security | Data Warehousing | Data integration | Data virtualization | Database Design | Databricks | ELT | EMR | ETL | Hadoop | Informatica | Master Data | Master Data Management | Microsoft SQL | Microsoft SQL Server | NoSQL | Performance Tuning | PostgreSQL | Profisee | Python | Query Optimization | Real Time | Real-time Data | Real-time Data Processing | Relational databases | SQL Server | SSIS | Scala | Snowflake | Streaming Data | Talend
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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