Senior Data Engineer (Python, SQL, Snowflake, Devops, Azure/ AWS, Co-pilot, Kubernetes, Docker)
Tasks
- Architect Snowflake environments
- Architect data pipelines
- Build data pipelines
- Build infrastructure as code
- Conduct code reviews
- Conduct design reviews
- Design data marts
- Design data warehouses
- Design orchestration workflows
- Develop data quality testing
- Enforce data contracts
- Implement CDC
- Implement CI/CD pipelines
- Implement Data Vault modeling
- Implement DevSecOps automation
- Implement SCD
- Implement Snowflake Pipes
- Implement Snowflake Streams
- Implement Snowflake Tasks
- Implement dimensional modeling
- Implement incremental loads
- Manage Snowflake warehouses
- Mentor junior engineers
- Monitor data SLAs
- Optimize ELT/ETL pipelines
- Optimize compute cost
- Optimize query performance
Perks/Benefits
Skills/Tech-stack
ADF | AWS | Airflow | Automated Data Profiling | Azure | Azure Bicep | Azure DevOps | CDC | CDC Pipelines | CI/CD | CloudFormation | Clustering | Conftest | DBT | Data Marts | Data Warehousing | Data profiling | Dependency Scanning | DevSecOps | Dimensional Modeling | Docker | ELT | ETL | GCP | Git | GitHub Actions | GitLab CI | Great Expectations | IAM | Incremental loads | Kafka | Kafka Connect | Kinesis | Kubernetes | Lineage | Micro-partitioning | OPA | Policy-as-Code | Prefect | Pub/Sub | Pytest | Python | RBAC | Resource monitors | SCD | SLA monitoring | SQL | Schema evolution | Secret Scanning | Snowflake | Star Schema | Step Functions | Terraform | Vulnerability scanning | Zero Trust | Zero copy | Zero copy clones | “as-code”
Education
N/A
Roles
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