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Tier-1 consulting brand, mid-level Snowflake data engineer in Bangalore attracts many qualified applicants.
Snowflake and Azure expertise creates moderate industry specificity despite transferable data engineering skills.
Explicit 5–8 years plus mandatory Snowflake, Azure, and Python skills.
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Design and implement data models and scalable data pipelines using Snowflake, ensuring performance optimization and cost-efficiency.
Ensure data security and governance through role-based access control, data masking, and secure data sharing within Snowflake environments.
Integrate Snowflake with cloud platforms (especially Azure) and third-party ETL/ELT tools to support advanced analytics and data warehousing solutions.
5 to 8 years of experience in data engineering or Snowflake-specific roles.
Strong hands-on experience with Snowflake platform (mandatory).
Proficiency in Python and SQL programming languages (mandatory).
Experience with Microsoft Azure cloud platform (mandatory).
Bachelor's degree required: B.E, B.Tech, MCA, M.E, or M.Tech.
Experienced in designing and optimizing cloud-based data warehousing and analytics solutions using Snowflake and Azure.
Strong technical expertise in building ELT pipelines and managing data security and governance within large-scale environments.
Capable of integrating Snowflake with third-party ETL/ELT orchestration tools like dbt, Airflow, or Matillion for efficient data workflows.