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Mid-level, popular AI/data role in Bangalore with known brand and clear skills attracts many qualified applicants.
Core data engineering skills (dbt, SQL, pipelines) transfer across industries, though AI product experience moderately narrows fit.
Explicit 4–6 years plus mandatory dbt, SQL, Alteryx and production ownership increases filtering strictness.
Own end-to-end support, reliability, and enhancement of AI-powered data products such as Data Concierge and AskInsights.
Design, build, and optimize data pipelines, transformations, and data models using dbt, SQL, and Alteryx within cloud or modern enterprise environments.
Monitor, troubleshoot, and improve production data systems including automated testing, observability, integration with APIs, and deployment practices.
4–6 years of professional experience in Data Engineering, Analytics Engineering, or a related technical role.
Strong proficiency in SQL and experience with modern data transformation frameworks like dbt.
Experience with Alteryx or similar data preparation and workflow automation tools.
Work Experience Required: 4–6 years relevant experience; Notice Period: Not explicitly mentioned in the JD.
Experience managing scalable, secure, and governed data solutions supporting AI-enabled products and enterprise analytics.
Capability to translate business and AI requirements into reusable, governed data pipelines and models across cross-functional teams.
Demonstrated expertise in diagnosing complex production data issues and driving continuous improvements in reliability, performance, and cost efficiency.