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Mid-level common data-engineer role in Bangalore with broad requirements increases competition.
Core data engineering skills like Snowflake, SQL, and ETL are highly transferable across industries.
Explicit 3-7 years requirement plus mandatory Snowflake, ETL and SQL skills make shortlisting strict.
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Develop and implement data products and solutions, primarily focusing on Cloud Data Warehousing with platforms like Snowflake and Redshift.
Design, develop, test, and deploy BI & Analytics solutions within Agile teams, including data migration from RDBMS and S3 to Snowflake.
Maintain data solution security and privacy while optimizing performance of complex SQL procedures and ELT pipelines using tools like dbt, Informatica, and Fivetran.
3-7 years of experience in Data Engineering and BI solution development.
Bachelor’s Degree in Engineering is mandatory.
Proven experience with Cloud Data Warehouses such as Snowflake or Redshift, including data migration and performance tuning.
Location preference: Bangalore; Standard Shift: 12 noon to 9 pm (subject to change based on business needs).
Strong hands-on expertise in Snowflake data modeling and ELT processes using SQL-based tools like dbt and Snowflake SQL.
Comfortable working in Agile environments and collaborating across teams on BI and analytics projects.
Experience or certification in Snowflake preferred; additional skills in AWS, Python, PySpark, Unix/Linux environment, and BI tools (PowerBI, Looker) increase competitiveness.