Key Technologies
- Python
- Terraform
- CI/CD
- DWH (Data Warehousing)
Requirements
- 4+ years of Data Engineering Experience
- 4+ years of SQL experience
- 3+ years of Python experience
- 2+ years of AWS experience
- Experience with Data pipelines
- Experience with CI/CD
Nice To Have
- Experience with Terraform
- Experience with Airflow
Responsibilities
Develop automated data pipelines in AWS (utilizing lambdas, Airflow, Glue, EKS).
Design and implement innovative approaches for data ingestion and provisioning (API, Snowflake, 3rd party integrations).
Implement multi-tenant data architecture systems.
Design, build, and launch new data models and pipelines.
Uphold best practices in data engineering, including data integrity, validation, reliability, and documentation, enhancing data discoverability.
Expertise level
Work arrangement
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