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Tier-1 Big4 brand, metro Bangalore, and a mid-level Snowflake data engineer role drive high competition.
Snowflake and cloud data engineering skills transfer across industries but require domain expertise, yielding medium sensitivity.
Explicit 5–8 years requirement plus mandatory Snowflake, Azure, and Python makes shortlisting highly strict.
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Design, build, and optimize cloud-based data warehousing solutions using Snowflake, focusing on data ingestion, ELT pipelines, and query performance.
Implement data modeling, architecture, and governance including role-based access control, data masking, and secure data sharing.
Integrate Snowflake with cloud platforms (Azure mandatory) and third-party ETL/ELT tools like dbt, Airflow, or Matillion.
5 to 8 years of experience in data engineering or Snowflake-specific roles.
Strong hands-on experience with Snowflake platform (mandatory).
Mandatory proficiency in Azure cloud platform, Python programming, and advanced SQL.
Bachelor's degree in Engineering, Technology or MCA (B.E, B.Tech, MCA, M.E, M.Tech).
Mid-level to senior data engineer with solid expertise in Snowflake and Azure cloud environments.
Experienced in building and optimizing scalable data pipelines and implementing strict data security and governance.
Skilled in programming (Python & SQL) and integrating cloud data platforms with third-party ETL/ELT tools for advanced analytics.