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Strong employer brand, mid-level generalist role, metro location, and common skillset increase applicant competition.
Snowflake and cloud data engineering focus demands specific domain experience, reducing cross-industry transferability.
Mandatory Snowflake, Azure, Python and explicit 5-8 years requirement make shortlisting highly strict.
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Design and implement data models and scalable data pipelines using Snowflake, including SQL, Snowpipe, Streams, Tasks, Python, or Snowpark.
Optimize Snowflake data warehouses and SQL queries for performance and cost-efficiency.
Ensure data security and governance with role-based access control, data masking, row-level security, and secure data sharing, integrating with cloud platforms like Azure.
5 to 8 years of experience in data engineering or with Snowflake specifically.
Strong hands-on experience in Snowflake platform is mandatory.
Mandatory cloud experience in Microsoft Azure.
Mandatory programming skills in Python and SQL.
Education required: Bachelor of Engineering, Bachelor of Technology, MCA, M.E, or M.Tech.
Experienced data engineer with strong expertise in designing cloud-based data warehousing solutions on Snowflake within Azure environments.
Proficient in building and optimizing ELT pipelines and advanced SQL queries for large datasets.
Skilled at implementing data governance and security protocols in Snowflake, and integrating ETL/ELT tools such as dbt, Airflow, or Matillion.