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    Job · 16346066

    NOIDA · FULLTIME

    Risk Analytics - Manager - Databricks

    Ernst Young logo

    Ernst Young

    Noida · onsite · Posted 43d ago

    Sourced fromNaukri
    Undisclosed7–12 yrsfulltimeNoida

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    Section · 01

    About this role

    Job Summary
    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.
    Role
    Manager Databricks Engineering & Risk Analytics
    Manager | Experience: 7+ years
    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
    • Strong hands-on experience with Databricks engineering, including architecture, development, optimization, and deployment of enterprise-scale solutions.
    • Extensive experience with CI/CD processes, DevOps practices, source control, automated testing, and deployment frameworks.
    • Experience designing and implementing modern data engineering solutions across cloud-based environments.
    • Strong understanding of data modeling, data pipelines, performance tuning, and scalability considerations.
    • Proven ability to translate complex technical solutions into business and risk outcomes.
    • Strong stakeholder management, communication, and leadership skills.
    • Experience leading and mentoring teams while managing multiple priorities and engagements.
    Domain Expertise
    Good to have - Demonstrated working expertise in Risk Analytics, Internal Controls, Compliance Monitoring, Internal Audit Analytics, Continuous Controls Monitoring (CCM), or related risk management disciplines.
    Preferred
    • Internal Audit experience.
    • Proficiency in PySpark, Python, and large-scale data processing.
    • Experience developing risk analytics, controls monitoring, and audit analytics solutions.
    • Strong knowledge of Power BI and business intelligence reporting.
    • Experience working with enterprise data platforms such as Snowflake, Azure Data Services, or similar cloud ecosystems.
    • Exposure to SOX, compliance, financial controls, operational risk, or governance programs.
    • Databricks and cloud platform certifications preferred.

    Sourced from naukri

    Section · 02

    Skills

    AutomationAzure Data Servicesautomated testingcloud platformCapability BuildingBusiness RequirementsAnalyticsCompliance MonitoringCapital MarketsData EngineeringcloudArchitecturecomplianceMicrosoft AzureBusiness Intelligence

    Section · Company

    About Ernst & Young

    Ernst Young logo

    Ernst Young

    Management Consulting

    44k+

    employees

    2002

    24 years old

    Gurgaon / Gurugram, Haryana

    India

    ₹15.3L PA avg

    Avg at Ernst & Young

    About

    At EY, our purpose is Building a better working world. The insights and quality services we provide help build trust and confidence in the capital markets and in economies the world over.

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