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Tier-1 brand, popular data engineering role, metro location and broad skill requirements increase competition.
Core data engineering skills transfer well, but banking domain and compliance increase specificity.
Mandatory data engineering stack and regulated banking environment raise hiring filter strictness.
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Build and maintain scalable data architectures including pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Design and implement data processing and analysis algorithms suitable for high volume and complex data, collaborating with data scientists for ML model deployment.
Lead or collaborate in complex cross-functional projects, managing risk and influencing policy and operational decisions within the Markets Post Trade Technology function.
Experience with AWS or any public cloud platform, strong SQL skills, and proficiency in Core Java or Core Python.
Hands-on experience with Apache Spark or Databricks, familiarity with CI/CD pipelines, and API development experience.
Bachelor's degree mandatory.
Location: Pune, India. Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading or significantly contributing to complex data engineering projects in a financial services or similarly regulated environment.
Strong technical expertise in cloud platforms, big data tools, and software development practices with an ability to advise and influence decision making.
Capability to manage risk, strengthen controls, and communicate complex technical information to stakeholders effectively.