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Mid-level, popular Snowflake data engineer role in Bangalore with common DBT/Python skills yields high competition.
Core data engineering skills are transferable, though Snowflake/DBT specialization slightly raises domain specificity.
Explicit 4–12 years plus mandatory Snowflake, DBT, Python and ETL tool experience increases shortlisting strictness.
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Own the development and optimization of complex SQL scripts, stored procedures, and data transformations within Snowflake environment.
Implement and maintain data models including dimensional modeling to support reporting and analytics.
Monitor and troubleshoot performance issues, ensure data quality, governance, and compliance in Snowflake data solutions.
4 to 12 years of work experience in data engineering or related roles.
Strong expertise in Snowflake data warehousing, including virtual warehouse architecture and performance optimization.
Proficient with ETL/ELT tools such as Snowpipe, AWS Glue, Openflow, Fivetran or similar for real-time and batch data processing.
Strong skills in SQL (queries, stored procedures, UDFs), Python programming, and experience with DBT and version control (Azure DevOps).
Experienced in collaborating with cross-functional teams including data analysts, architects, and business teams to deliver reliable data solutions.
Skilled in integrating diverse data sources including APIs, flat files, relational databases, and cloud services.
Comfortable working in dynamic, growth-oriented environments and handling end-to-end Snowflake data pipeline lifecycle.