Data Integration Engineer I
Tasks
- Build integration infrastructure
- Collaborate with data scientists, analysts, and software engineers
- Design integration pipelines
- Develop data modeling and ETL processes
- Ensure data integrity performance and security
- Implement data ingestion and ETL best practices
- Implement data quality frameworks
- Maintain data pipelines
- Maintain data platform solutions
- Maintain data storage processing and monitoring
- Optimize SQL query performance
- Structure integrations and conduct analyses for reporting
- Trace logs and resolve bottlenecks
- Troubleshoot system downtime
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS IAM | Airflow | Amazon VPC | Apache Flink | Apache Spark | Boomei | CI/CD | Cloud Architecture | Compliance | DBT | DNS | Data Governance | Data Ingestion | Data Modeling | Data Quality | Data Security | Data Visualization | Data Warehousing | Dimensional Modeling | Docker | ETL | Firewalls | Fivetran | Hadoop | IaaS | Kafka | Kubernetes | Logging | Python | Query Optimization | Relational modeling | SQL | SQL Tuning | Security groups | Snowflake | Starburst | Troubleshooting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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