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Strong employer brand and Bangalore metro increase competition, but Snowflake specialization narrows applicant pool.
Snowflake/Azure data engineering skills transfer across industries, though Snowflake specialization raises domain preference.
Mandatory Snowflake, Azure, Python/SQL and explicit 5–8 years requirement create stringent filtering.
Design, build, and optimize cloud-based data warehousing and analytics solutions using Snowflake platform.
Develop and maintain scalable data pipelines using Snowflake SQL, Snowpipe, Streams, Tasks, Python, or Snowpark.
Implement data security and governance including RBAC, data masking, row-level security, and secure data sharing.
5 to 8 years of dedicated data engineering or Snowflake-specific experience.
Strong hands-on experience with Snowflake platform (mandatory).
Mandatory cloud experience with Microsoft Azure.
Proficiency in Python and SQL programming languages.
Bachelor's degree in Engineering or Technology (B.E, B.Tech) or MCA/M.E/M.Tech.
Experienced in designing data models and architectures specifically on Snowflake.
Skilled in performance optimization of Snowflake data warehouses and query tuning for cost-efficiency and speed.
Comfortable integrating Snowflake with third-party ETL/ELT tools and working across cloud environments, especially Azure.