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Tier-1 brand, metro Bangalore, mid-level generalist data/backend role with broad skillset increases competition.
Requires financial or large-scale analytics domain experience, making transferability across industries limited.
Mandatory 5+ years, specific data/backend tech stack, and financial domain increases filter strictness.
Design, build, and maintain scalable ETL/data pipelines and backend microservices using Java/Spring Boot, Python, and AWS technologies to support large-scale revenue and analytics processing.
Develop infrastructure-as-code and CI/CD pipelines ensuring performance, cost efficiency, and reliability of data workflows.
Lead troubleshooting and root-cause analysis, participate in code reviews, mentor junior engineers, and drive adoption of AI-assisted software development tools within the team.
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
Minimum 5 years of professional software engineering experience.
Proficiency in Python or Java; experience with AWS cloud services (S3, Glue, Lambda, IAM, RDS/Aurora).
Experience building data pipelines, SQL/relational databases, distributed data processing (Spark); strong testing discipline with unit and integration testing.
Experience leading or mentoring engineering teams with an emphasis on software development lifecycle and AI-assisted coding practices.
Background in financial, revenue, or large-scale analytics data domains with knowledge of responsible AI use and secure data handling.
Strong capability in managing full lifecycle of data platform services including infrastructure-as-code and CI/CD pipeline automation.