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Tier-1 employer, metro Bangalore location, and mid-level lead title increase applicant competition.
Core data engineering skills like Beam/Spark and Kubernetes are highly transferable across industries.
Explicit 5+ years plus mandated Beam/Spark, Kubernetes, Spring Boot, and distributed-systems expertise makes screening strict.
Lead and influence complex, companywide technology engineering initiatives and best practices.
Design, code, test, debug, and document large-scale technology solutions aligned with tactical and strategic business objectives.
Provide technical leadership, including mentoring engineers, leading design reviews, and collaborating with senior technical teams.
Minimum 5 years of software engineering experience or equivalent via work experience, training, military experience, or education.
Experience with distributed data pipelines and large-scale system designs is required but specifics not mandated as hard filter.
Notice period: Not explicitly mentioned in the JD.
Must adhere to compliance, risk management and company policies as described, indicating requirement for disciplined risk/compliance execution.
Demonstrated expertise in distributed systems, including scalability, fault tolerance, and data consistency trade-offs.
Experience with Apache Beam (or Flink/Spark), Kubernetes, and building microservices using Spring Boot with strong API governance.
Strong technical leadership skills with ability to define/enforce engineering standards and drive cross-team technology direction.