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Mid-level data engineer in Bangalore with common skillset increases applicant density and competition.
Data engineering skills are moderately transferable across industries but require specific Snowflake/dbt expertise.
Explicit 3-7 years plus mandatory Snowflake/ETL experience creates strict technical filtering.
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Develop and implement data products and solutions, focusing on cloud data warehouses like Snowflake and Redshift.
Collaborate within Agile teams to design, develop, test, and deploy Data, BI, and Analytics solutions.
Handle data migration from RDBMS and S3 to Snowflake; perform complex SQL stored procedures and optimize their performance.
3+ years of overall IT experience with 3-7 years specifically in Data Engineering and Data & BI solution development.
Bachelor’s Degree in Engineering.
Experience with Cloud Data Warehouses (Snowflake, Redshift) and SQL stored procedure development and tuning.
Preferred Bangalore location; Standard shift: 12 noon to 9 pm (may vary).
Strong hands-on expertise in Snowflake Data Modelling, ELT using dbt SQL/Snowflake SQL, and Informatica or Fivetran.
Familiarity with cloud technologies like AWS, UNIX/Linux environment, and programming languages such as Python and Pyspark.
Experience in data migration projects and knowledge of BI tools (PowerBI, Looker, Hyperion) and ML/AI technologies is advantageous.