Python ( Airflow / DBT ) Engineer

Data Pipeline Development: Build and optimize ETL/ELT pipelines using Python, Airflow, and DBT to ingest, transform, and load data into Snowflake.

Cloud Migration Support: Assist in migrating existing on-prem data workflows and databases to Snowflake on Azure, ensuring minimal disruption and high data fidelity.

Data Modeling & Transformation: Design and implement robust data models and transformation logic using DBT and SQL, aligned with business requirements.

Containerization: Use Docker to containerize data services and workflows for consistent deployment across environments.

Database Engineering: Apply strong SQL and Snowflake expertise to optimize queries, manage schemas, and ensure data quality and performance.

Version Control & Collaboration: Use Git/GitHub for source control, code reviews, and CI/CD integration.

Monitoring & Troubleshooting: Monitor pipeline performance, troubleshoot issues, and implement logging and alerting mechanisms.

Security & Governance: Ensure data security, compliance, and governance standards are met throughout the migration process.

Python, Airflow / DBT, Docker, strong database skills (Snowflake), git/GitHub, Azure

Scope

resource will help expedite work already in progress as part of cloud migration of our on-prem data systems to Cloud (snowflake on Azure).

Certifications