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Tier-1 consulting brand, mid-level Snowflake data engineering role in Bangalore attracts high applicant competition.
Snowflake/Azure specialization raises domain bias, but data engineering skills remain moderately transferable across industries.
Mandatory Snowflake, Azure, Python/SQL and explicit 5–8 years requirement make shortlisting strict.
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Design, build, and optimize cloud-based data warehousing and analytics solutions on Snowflake platform.
Develop and maintain scalable ELT pipelines using Snowflake SQL, Snowpipe, Streams, Tasks, Python, or Snowpark.
Implement data security measures like RBAC, data masking, row-level security, and manage integration with cloud services (Azure mandatory).
5 to 8 years of dedicated data engineering or Snowflake-specific experience.
Strong hands-on experience in Snowflake platform is mandatory.
Mandatory skills: Azure cloud platform, Python programming, advanced SQL.
Bachelor’s degree in Engineering or Technology (B.E, B.Tech) or MCA/M.E/M.Tech.
Experienced in data modeling, pipeline development, and query performance tuning within Snowflake and Azure ecosystems.
Skilled in integrating Snowflake with third-party ETL/ELT tools like dbt, Airflow, or Matillion.
Comfortable working with advanced data transformations using Python and SQL in a cloud-focused environment.