Sr Specialist, Data Engineering
Tasks
- Design build and maintain data pipelines in Airflow
- Develop modular tested and documented dbt models
- Implement CI CD for dbt and Airflow
- Implement data quality observability and testing standards
- Ingest data from digital touchpoints into Snowflake
- Perform incident triage root cause analysis and post mortems
- Provision and manage cloud data infrastructure with Terraform
- Transform raw data into business-ready datasets
- Tune Snowflake performance and manage warehouse cost
- Use branching strategy and code review norms for data code
Perks/Benefits
Skills/Tech-stack
Apache Airflow | CI/CD | Cloud Build | Cloud Storage | Cloud platform | Clustering | DBT | Data Modeling | Data Observability | Data Quality | Docker | Elementary | GKE | Git | GitHub Actions | Google Cloud | Google Cloud Platform | Google Cloud Storage | Great Expectations | Kinesis | Kubernetes | Performance Tuning | Pub/Sub | Python | Query profiling | Resource monitoring | SQL | Snowflake | Terraform | Warehouse Performance Tuning | Warehouse performance
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