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Tier-1 brand and Bangalore metro increase competition, while senior Databricks specialization moderates density.
Role prefers financial-services/data experience and platform familiarity, limiting cross-industry transferability.
Mandatory 7+ years plus Databricks, PySpark, Python, and CI/CD requirements create strict technical filters.
Design, develop, and maintain the Babel platform to support research data management, analytics, and investment processes.
Build and manage data pipelines, Databricks workflows, and containerized applications using Python, PySpark, SQL, Docker, and shell scripting.
Collaborate cross-functionally, lead projects with minimal guidance, and develop into a Subject Matter Expert on technical and domain areas.
7+ years of experience in technology and/or data functions within financial services or consulting.
Hands-on experience with Databricks, Spark, Python, PySpark, SQL, and shell scripting.
Experience with cloud platforms, preferably AWS (including S3, EMR, Lambda, ECS/EKS, Glue, IAM).
Bachelor’s degree or equivalent related work experience.
Proven ability to design and build scalable, high-performance data transformation and analytics solutions in fast-paced, dynamic environments.
Experience in managing CI/CD pipelines using Jenkins, Artifactory, Bitbucket/GitHub and developing containerized applications with Docker.
Strong familiarity with data modeling, distributed data processing, and troubleshooting production issues.