Data Engineer (ETL / Data Pipelines)
Tasks
- Collaborate with AI ML backend and analytics teams
- Design data pipelines
- Develop ETL and ELT workflows
- Develop and manage data lakes
- Document data processes and flows
- Ensure data quality and integrity
- Manage data integration and transformation
- Monitor and troubleshoot data pipelines
- Optimize data flows for performance and scalability
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Cloud Platforms | Data Lake | Data space | Docker | Hadoop | Kafka | Kubernetes | Nifi | Python | REST APIs | SQL | Spark | Streaming Pipelines
Education
Roles
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