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Mid-level Data Engineer role, metro location, and common 5+yr band increase applicant competition.
AWS and Snowflake data engineering skills are broadly transferable across industries, so sensitivity is low.
Mandatory 5+ years plus explicit Snowflake/AWS expertise and Bangalore WFO requirement raises strictness.
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Own and implement data engineering tasks focusing on data modeling using AWS and Snowflake.
Develop and maintain ETL/ELT pipelines and data warehouse systems.
Utilize strong SQL and data transformation skills to ensure data quality and accessibility.
5+ years of work experience in data engineering.
Strong hands-on experience with Snowflake and AWS data services.
Proficient in SQL, data transformation, ETL/ELT processes, and data warehouse concepts.
Must be willing to work from the Bangalore office and join immediately.
Experienced in hands-on data modeling and managing data pipelines on cloud platforms, especially AWS and Snowflake.
Capable of independently handling data engineering responsibilities with effective problem-solving abilities.
Available for immediate joining and able to work onsite in Bangalore.