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Tier-1 brand, metro Bengaluru location, and broad skillset requirements increase applicant competition.
Data engineering and BI leadership skills are transferable, but BI/tool specificity favors similar industries.
Explicit 10+ years plus multiple mandatory technical experience requirements make filters highly stringent.
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Lead and manage data engineering teams delivering complex, high-quality data solutions aligned with customer and business outcomes.
Serve as technical advocate ensuring code integrity, quality standards, architectural alignment, and rapid, lean releases including MVPs and experimental features.
Hands-on with design and coding; mentor engineers; resolve blockers; promote continuous quality improvements including technical debt management within agile sprints.
Bachelor’s degree in Computer Science, Software Engineering, or related discipline; advanced degree preferred but not mandatory.
10+ years experience with leading BI tools (Tableau, SAP BOE, Power BI, Qlik) and 5+ years with cloud-native data analytics platforms on Azure, AWS, or GCP.
Strong software engineering expertise including SQL (stored procedures, triggers), OOP/OOD, and agile/DevSecOps methodologies.
Work Experience Required: Minimum 10 years in relevant data engineering and BI roles; Location: Bengaluru.
Preferred: 3+ years experience with AI/ML and GenAI; experience with ETL tools and programming in R/Python is a plus.
Experienced leader able to balance hands-on engineering with team management and mentoring to drive engineering excellence and product outcomes.
Strong cross-functional collaborator capable of integrating diverse perspectives from product, infrastructure, experience, and security teams to make informed strategic decisions.
Builder of lean, rapid, and high-quality data products using modern engineering practices and continuous delivery in complex enterprise environments.