Lead Snowflake Developer - Data Engineering

Skill Combination :

- Azure Data Engineer + Python + Snowflake + DevOps

Key Responsibilities :

Python API Development & Automation :

- Develop Python programs to interact with API endpoints programmatically.

- Apply full software engineering lifecycle : packaging, unit/integration testing, CI/CD integration, and artifact deployment.

- Maintain code in version control, manage dependencies, and publish to repositories.

End-to-End Engineering :

- Write Terraform and other IaC scripts as part of solution delivery.

- Integrate infrastructure provisioning, data workflows, and testing into CI/CD pipelines.

- Extend and maintain automated test harnesses and data validation frameworks.

Snowflake Development :

- Design, build, and optimize Snowflake data models, queries, and stored procedures.

- Work with Snowsight for advanced analytics and performance tuning.

- Implement data security, governance, and access controls.

Leadership & Mentorship :

- Review code, Terraform scripts, and automation frameworks from mid/junior engineers.

- Provide architectural guidance, design reviews, and pull request approvals.

- Promote engineering best practices and lead design discussion

Required Experience :

- 8+ years in data engineering, with at least 3+ years in Snowflake.

- Strong Azure Data Engineering background (ADF, Databricks, data lake integration preferred).

- Proven track record in Python development with API integration and automation.

- Solid DevOps experience Jenkins/GitHub Actions/GitLab CI, infrastructure automation, cloud deployments.

- Skilled in Terraform for Azure resource provisioning.

- Experience with test automation frameworks for data pipelines and APIs.

- Strong communication and leadership skills for guiding technical teams.