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Pune metro, common data-engineer profile with mid-seniority and broad ELT requirements, moderate candidate density.
Requires specific data platform and ELT expertise, moderately limiting cross-industry transferability.
Explicit 6+ years, mandatory cloud/data platform experience and specific ELT/Snowflake tooling increases filtering strictness.
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Lead and coordinate multiple data engineering teams to deliver scalable, reusable, and governed ELT data pipelines and products on the Unified Data Platform.
Design, build, and optimize ELT pipelines integrating data into data lakes, warehouses, and curated products following enterprise data models and standards.
Ensure adherence to data services protocols, including coding standards, CI/CD, data governance, metadata management, and production support.
Bachelor's degree in IT or related discipline.
Minimum 6 years of experience in data/software engineering with at least 4 years in cloud-based data platforms.
Proven experience with enterprise data platforms, preferably Snowflake on AWS, and ELT tools like Matillion, Fivetran, or Informatica IICS.
Advanced SQL skills, understanding of data warehousing concepts, CI/CD pipeline implementation, and data governance expertise.
Experienced leader capable of managing multiple delivery teams and enforcing standardized engineering protocols in an agile environment.
Strong expertise in cloud-native data platform architecture, especially Snowflake and ELT workflows, with focus on scalability and reuse.
Skilled at collaborating cross-functionally with business, architecture, and analytics stakeholders to translate requirements into governed data products.