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Manager – Databricks Engineering & Risk Analytics
Manager | Experience: 7+ years
Lead the design, development, and deployment of scalable analytics solutions leveraging Databricks and modern data engineering practices. Partner with risk, audit, and business stakeholders to deliver analytics-driven insights, automation, and risk monitoring capabilities across enterprise processes.

Key Responsibilities

Design, develop, and maintain scalable data engineering and analytics solutions using Databricks and cloud-based platforms.
Build and optimize data pipelines, ETL/ELT frameworks, and reusable analytics assets using PySpark and related technologies.
Lead implementation of CI/CD processes, deployment automation, code versioning,



testing frameworks, and release management practices.
Collaborate with Internal Audit, Risk, and business teams to translate business requirements into analytical solutions and risk monitoring capabilities.
Drive the development of risk analytics, continuous monitoring, exception detection, and data-driven assurance solutions.
Ensure adherence to data governance, security, performance, and engineering best practices.
Mentor junior team members and support capability building across data engineering and analytics disciplines.
Partner with global stakeholders to prioritize requirements, manage delivery timelines, and ensure successful project execution.

Critical Skills and Experience

Robust hands-on experience with Databricks engineering, including architecture, development, optimization, and deployment of enterprise-scale solutions.
Extensive experience with CI/CD processes, DevOps practices, s

📌 Risk Analytics (Noida)
🏢 EY
📍 Noida