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Tier-1 bank, metro location, popular data-engineer title and broad skillset increases candidate competition.
Core cloud data engineering skills are transferable, though financial-sector experience is preferred, increasing domain specificity.
Multiple mandatory cloud, data platform and DevOps skills required but no explicit years specified.
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Build and maintain data pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Design and implement processing and analysis algorithms suitable for data complexity and volume.
Lead or support teams; collaborate with data scientists to develop and deploy machine learning models.
Experience in data platform engineering, preferably in the financial sector.
Technical skills: AWS CloudFormation, Kubernetes, Chef, Java/Scala/Python, Ansible, DevOps tools like Jenkins, Bitbucket/Gitlab, Nexus, CI/CD toolchains.
Location: Pune-based role.
Work Experience Required: Not explicitly mentioned in the JD.
Strong understanding of complex enterprise infrastructure and cloud architectures (AWS preferred).
Experience with cloud and containerization technologies and automation tooling, indicating operational and deployment expertise.
Ability to lead and coordinate cross-functional teams with focus on risk management, controls, and continuous improvement in regulated environments.