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Senior (15+ years) niche data engineering role in Bangalore reduces applicant density despite metro location.
Requires deep data engineering and big-data cloud expertise, limiting transferability across unrelated industries.
Strict 15-year minimum plus specific cloud, big data, and platform skills required.
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Lead and manage data engineering teams to design, build, and operate scalable data solutions supporting analytics and AI across assigned Value Pools.
Own the full data engineering lifecycle for specific domains, ensuring data quality, security, and governance are embedded in all solutions.
Drive automation, optimize platform performance and cost efficiency, and enforce engineering standards in collaboration with architecture and governance teams.
Minimum 15 years of experience as a full-time data engineer or software engineer.
Proven experience building data solutions for the Commercial Effectiveness, Supply Chain Excellence, Innovation, or Corporate Functions Value Pool and associated data domains.
Bachelor's degree in Engineering, Mathematics, Statistics, or Computer Science.
Work Experience Required: 15+ years in data/software engineering.
Deep technical expertise with hands-on leadership capabilities in enterprise-scale data engineering and domain data ownership.
Experience working with complex data platforms, including big data, cloud (preferably Azure or GCP), and modern data engineering practices like CI/CD, automation, and DevOps.
Strong ability to collaborate with cross-functional teams (architects, analysts, data scientists) and manage prioritization, delivery, and stakeholder expectations in a regulated or enterprise environment.