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 solid Snowflake development skills.
Experience with dbt, Informatica, Talend, Matillion, or similar ETL/ELT tools.
Proficiency in Python or another programming language.
Robust 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 Hyderabad
🏢 Jero Technologies
📍 Hyderabad