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Tier-1 brand and Bangalore location increase competition, but seniority and niche data platform skills moderate it.
Strong data-platform and big-data background required, limiting cross-industry transferability.
Explicit 10+ years, mandatory Python/Java and big-data/cloud requirements make filtering strict.
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Design, develop, and operate scalable, secure, and stable data platform services and pipelines supporting multiple teams and products.
Provide technical guidance and set enterprise-wide operating practices for AI-assisted development and software delivery lifecycle automation.
Drive data platform architectural decisions and influence adoption of advanced data/backend technologies across teams.
10+ years of professional experience in software engineering applied to data platforms and backend systems.
Advanced proficiency in both Python and Java, with experience building APIs, services, and distributed systems.
Strong hands-on experience with big data technologies such as Spark, Databricks, Data Lake, and AWS cloud services (ECS, EKS, EMR, Lambda).
Experience leading multi-team adoption of AI-assisted development tools with governance, security, and quality controls.
Experienced in designing and operating end-to-end data platform components including ingestion, processing, storage, and serving layers.
Skilled at working independently on complex design and functionality issues with minimal oversight in large, global corporate environments.
Capable of influencing peers and leadership on responsible AI use, engineering workflows, and future technology direction within data platforms.