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Mid-level Snowflake Data Engineer in Bangalore, popular role with metro location and generalist cloud/ETL requirements.
Snowflake and ETL specialization limits cross-industry fit moderately despite transferable data engineering skills.
Explicit 4–6 years and mandatory Snowflake/ETL, SQL and Python skills drive strict shortlisting.
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Design and develop scalable ETL/ELT pipelines using Snowflake and Matillion or similar ETL tools.
Build and optimize data integration, transformation, and ingestion frameworks; develop robust data models and data warehouse solutions.
Implement data quality, governance, and security best practices; automate workflows with Git and CI/CD; monitor and optimize data pipelines for performance and reliability.
4-6 years of experience as a Snowflake Data Engineer or in a similar role.
Hands-on experience with Snowflake development, data modeling, and ETL tools like Matillion, Informatica, IICS, or Talend.
Strong SQL skills including query optimization; experience with Python scripting and AWS Cloud services preferred.
Knowledge of data warehousing concepts including star and snowflake schemas; exposure to Git, CI/CD, and Agile methodologies.
Experienced in enterprise-scale cloud data transformation initiatives and modern data engineering platforms.
Comfortable collaborating with BI and Analytics teams and working within global, agile environments.
Has practical knowledge of data governance, security best practices, and automation of data workflows.