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Mid-level Snowflake data engineer in a metro with broad, common skill demands increases competition.
Medium because core data engineering skills transfer, but Snowflake-specific migration and certification increase specialization.
High due to explicit 4-7 years, mandatory SnowPro certification, and specialized Snowflake migration requirements.
Build, maintain, and optimize large-scale data platforms and pipelines primarily on Snowflake with a focus on migration and modernization.
Lead automated migration of legacy SQL/ETL/database objects from platforms like Teradata, Oracle, Hive, or Spark to Snowflake using SnowConvert AI and related tools.
Implement and manage advanced Snowflake capabilities (Procedures, UDFs, Streams, Tasks, Snowpipe) to enable continuous ingestion, performance optimization, and data governance.
4+ years of hands-on data engineering experience, specifically with Snowflake and complex SQL.
Proficiency in Spark/PySpark, Python, and data modeling/schema design with knowledge of data warehousing concepts.
Snowflake SnowPro Core Certification is mandatory.
Location: Mumbai or Bangalore. Work Experience Required: 4-7 years.
Experienced in cloud data ecosystem integration, especially with AWS services and hybrid/multi-cloud environments.
Strong expertise in Snowflake migration tools, performance tuning, and governance capabilities.
Proficient in agile SDLC practices with experience in automated CI/CD pipelines and use of AI/LLM tools for data engineering acceleration.