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PwC brand, Bangalore metro location, and mid-level Snowflake data role increase competition among qualified applicants.
Medium because Snowflake, Azure and Python skills transfer across industries, though advisory experience is preferred.
High because explicit 5–8 years requirement plus mandatory Snowflake, Azure and Python skills.
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Design, build, and optimize cloud-based data warehousing and analytics solutions on Snowflake platform.
Develop scalable data pipelines using Snowflake SQL, Snowpipe, Streams, Tasks, Python, or Snowpark.
Ensure data security and governance through RBAC, data masking, row-level security, and manage secure data sharing.
5 to 8 years of experience in data engineering or Snowflake-specific roles.
Strong hands-on experience with Snowflake platform (mandatory).
Mandatory skills include Azure cloud platform, Python, and SQL programming.
Bachelor's degree in Engineering or Technology (B.E, B.Tech, MCA, M.E, M.Tech).
Experienced in designing data models and schemas within Snowflake for scalable analytics.
Skilled in performance tuning of data warehouses and SQL queries for cost and speed efficiency.
Capable of integrating Snowflake with cloud environments (Azure) and ETL/ELT tools like dbt, Airflow, or Matillion.