Key Responsibilities

- Design, develop, and optimize data pipelines using Snowflake and ETL/ELT tools.

- Work with Snowflake features, including Streams, Tasks, Snowpipe, UDFs, and Stored Procedures.

- Develop and optimize complex SQL queries and data transformation workflows.

- Build automation scripts and data pipelines using Python.

- Implement data modeling techniques, including Star Schema, Snowflake Schema, and Data Vault.

- Integrate Snowflake with AWS, Azure, or GCP cloud platforms.

- Manage workflow orchestration using Airflow, Control-M, or similar tools.

- Implement data governance, security, version control, and CI/CD best practices.

- Collaborate with business stakeholders and technical teams to deliver scalable data solutions.





Required Skills

- 10+ years of overall Data Engineering experience, including 5+ years of hands-on Snowflake experience.

- Expert-level SQL and strong Snowflake development skills.

- Experience with dbt, Informatica, Talend, Matillion, or similar ETL/ELT tools.

- Proficiency in Python or another programming language.

- Solid knowledge of data modeling, cloud platforms, and workflow orchestration.

- Experience with Git, CI/CD, data governance, and data security.

Education

Any Graduate in Any Specialization

📌 Senior Snowflake Data Engineer || Lead Data Engineer ( Snowflake ) (Bengaluru)
🏢 Jero Technologies
📍 Bengaluru