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Senior Data Engineer - Snowflake

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📊 Data Engineering: salaries and demand on the market
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Description
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Job Role : Senior Data Engineer (AWS + Snowflake Migrations) Location : Mumbai/Bangalore Experience : 4-7 Years Must Have Skills 4+ years of hands-on experience in data engineering, building and maintaining large-scale data platforms and pipelines on Snowflake Strong SQL expertise including complex analytical queries, window functions, stored procedures, and schema design Proficiency in Spark/PySpark and Python for data processing, transformation, and automation. Solid understanding of data modeling , schema design, partitioning strategies, and file formats (Parquet, ORC, Avro). Experience with batch and streaming data pipelines , ETL/ELT frameworks, and orchestration tools. Experience with Snowflake SnowConvert AI for automated code conversion and migration of legacy SQL, stored procedures, ETL scripts, and database objects from platforms such as Teradata, Oracle, Hive, or Spark to Snowflake-compatible SQL. Familiarity with multi-layer data architectures (Bronze/Silver/Gold medallion pattern) Experience with Snowflake core capabilities including Snowflake Procedures, UD
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