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Tier-1 brand and metro location increase competition, but niche Snowflake specialization reduces density.
Snowflake certification and cloud-data tooling increase domain specificity but skills remain moderately transferable.
Mandatory 8-11 years, SnowPro certification, and specific Snowflake/dbt/PySpark requirements make shortlisting strict.
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Design, develop, implement, and optimize Snowflake-based data solutions focusing on performance and cost efficiency.
Collaborate with stakeholders to translate business requirements into technical Snowflake implementations.
Develop and enforce best practices for data governance, security, and compliance within Snowflake environments.
8-11 years total work experience, with 4-8 years specializing in Snowflake data services and platforms.
Mandatory SnowPro Core certification.
Proficiency in SQL, performance tuning, PySpark/Python/Snowpark, and experience with dbt (Data Build Tool).
Bachelor's or Master's degree in Engineering (B.Tech/M.Tech) or MCA/MBA.
Experienced in designing scalable data solutions on Snowflake aligned with latest platform trends.
Strong hands-on ability in integrating Snowflake with cloud platforms (AWS, Azure, or Google Cloud) and optimizing ETL/ELT processes.
Demonstrates capability to manage end-to-end Snowflake environment performance, data governance, and collaboration with stakeholders for business-centric solutions.