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Known employer, common Data Engineer role, metro Pune location, and broad toolset increase applicant competition.
Core data engineering skills (pipelines, SQL, cloud) are industry-agnostic and highly transferable.
Mandatory 6+ years and specific technologies (Airflow, Snowflake, DBT, Terraform) create strict screening filters.
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Lead design and delivery of scalable, secure AI-first data products powering enterprise transformation.
Partner with business and engineering teams to identify automation and system modernization opportunities.
Provide technical leadership for engineers and external partners, ensuring quality, maintainability, and operational excellence.
6+ years experience in data-related roles with leadership in designing and deploying AI-first data products, preferably in Python.
Strong hands-on skills in building and optimizing data pipelines; proficient in SQL and programming.
Experience with data tools and platforms including Airflow, Snowflake, Meltano, Fivetran, DBT, Looker, AWS, and infrastructure as code tools like Terraform or Pulumi.
Location: Pune; Work model: In-office; Visa/work permit sponsorship not available.
Experienced in enterprise-scale AI and data platform initiatives driving automation and operational transformation.
Technically adept with a strong emphasis on scalable architecture and platform-level capabilities using modern tooling.
Proven ability to influence cross-functional teams and drive adoption, change management, and operational processes in a fast-evolving environment.