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Mid-level data engineer role in Bangalore with common skillset and metro location increases competition significantly.
Data engineering skills (Snowflake, SQL, Python, ETL) are highly transferable across industries.
Explicit 3-6 years plus mandatory Snowflake, DBT, SQL, Python and ETL tooling creates a strict filter.
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Own the development and optimization of complex SQL scripts, stored procedures, and data transformations within Snowflake.
Collaborate with data analysts, architects, and business teams to deliver reliable data solutions and maintain data models supporting reporting and analytics.
Monitor, troubleshoot, and optimize Snowflake performance and data pipelines ensuring data quality, governance, and compliance.
3-6 years of relevant work experience in data engineering with Snowflake.
Strong proficiency in SQL scripting, stored procedures, and data transformation within Snowflake.
Experience with ETL/ELT tools such as Snowpipe, AWS Glue, Openflow, or Fivetran for real-time and periodic data processing.
Proficiency in Python programming and experience with DBT for database object modeling; experience with version control tools especially Azure DevOps.
Experienced in Snowflake’s data warehousing architecture and performance/cost optimization.
Skilled in integrating data from multiple sources including APIs, flat files, relational databases, and cloud services within Snowflake.
Capable of implementing data models with dimensional modeling techniques (star/snowflake schemas) and ensuring data governance and compliance in a production environment.