Sr Snowflake/dbt Data Engineer
2 days ago
- Responsibilities:
- Develop, test, and deploy robust ETL pipelines on Snowflake on MS Azure/AWS/GCP Platform using, but not limited to, Snowflake/dbt/Databricks, Cloud Composer, and Cloud Run to ingest structured/unstructured data from on-prem SQL Server instances into Snowflake Models/Database/Schema.
- Implement data validation checks, error handling, and logging to ensure pipeline reliability.
- Optimize pipeline and query performance through partitioning, clustering, and cost-control techniques
- Automate deployment workflows using CI/CD pipelines (Jenkins, GitHub Actions, etc.) and infrastructure-as-code (IaC) tools.
Monitor pipelines via Cloud Logging and Cloud Monitoring, implementing alerting for data latency or quality issues
Basic Qualifications
- Excellent verbal and written communication skills
- 4+ years of experience working with Snowflake/dbt on Azure/GCP/AWS in production environments and hands-on experience in developing moderate to complex ETL data pipelines
- 3+ years of hands-on experience with Cloud Composer (Airflow) developing DAGs
- 3+ years of hands-on experience with BigQuery and the ability to resolve complex SQL query performance issues
- 4+ years of ETL Python development experience; experience parallelizing pipelines a plus
- Demonstrated ability to troubleshoot complex query, pipeline, and data quality issues
Drop me your resumes to
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