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Niche dbt+Snowflake skills reduce applicants, but metro locations and mid-level seniority raise competition.
Core dbt/Snowflake and ELT migration skills are transferable but require platform-specific experience, giving moderate sensitivity.
Explicit 7-9 years, mandatory dbt/Snowflake and migration experience, plus CI/CD and modelling requirements increase strictness.
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Design and define enterprise dbt transformation architecture and standards for large-scale Snowflake data platform modernization.
Lead migration of legacy SSIS ETL pipelines to scalable, maintainable dbt-driven ELT workflows, ensuring data accuracy and performance optimization.
Develop reusable frameworks, implement data validation/reconciliation strategies, and oversee CI/CD, documentation, and delivery processes for transformation pipelines.
7+ years of experience in data engineering with hands-on dbt development and ETL/ELT expertise.
Bachelor's degree in Computer Science, Information Technology, or equivalent.
Strong experience with enterprise-scale dbt architecture, legacy ETL modernization (SSIS to ELT), and Snowflake optimization.
Location requirement: Pune, Maharashtra, India (other locations mentioned but Pune specified in location field).
Experienced architect with a background in enterprise data platform modernization and migration projects.
Skilled in cross-functional collaboration with engineering teams, QA, and stakeholders for complex data transformation environments.
Proficient in implementing validation strategies, CI/CD workflows, and maintaining high standards for data accuracy and pipeline reliability.