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Tier-1 brand, metro Bangalore location, broad data+AI+cloud skillset increases candidate competition.
Core data engineering skills are transferable, but banking domain and AI compliance requirements increase fit sensitivity.
Multiple mandatory technical skills, 5+ years requirement, and regulated banking environment drive strict filtering.
Design and deliver secure, stable, and scalable data collection, storage, and analytics solutions as part of an agile team.
Develop, test, and maintain data pipelines and architectures supporting diverse business functions.
Lead adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational stability.
5+ years of applied software engineering experience with formal training or certification.
Hands-on experience with Big Data platforms, data engineering, and developing data pipeline processes.
Proficiency in Python, FAST API, Spark, and AWS services including Lambda, Glue, Step Function, ECS, and Terraform for infrastructure provisioning.
Experience leading use of approved AI-assisted software development tools and strong understanding of responsible AI use in engineering workflows.
Experienced in end-to-end system design, application development, testing, and operational stability in data-driven environments.
Capable of independent problem solving and technical troubleshooting with minimal oversight.
Familiarity with generative AI solutions like NLP, LLM models, and prompt engineering, preferably with hands-on work experience implementing these technologies on AWS.