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    Job · 16418963

    KOCHI · FULLTIME

    CSI Analytics - Data Engineering Associate

    Ernst Young logo

    Ernst Young

    Kochi · onsite · Posted 43d ago

    Sourced fromNaukri
    Undisclosed2–3 yrsfulltimeKochi

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    Section · 01

    About this role

    Job Summary
    CSI Analytics goal is to solve complex business and operational problems and enable informed decision making through scalable, secure, and high performance data platforms. The Data Engineering Associate will work within the Operational Excellence CSI Analytics team to design, build, and maintain resilient data engineering solutions that support enterprise analytics, reporting, and AI driven use cases.
    As a Data Engineering Associate, the role combines strong cloud data engineering expertise with disciplined delivery and quality practices to ensure reliable, well governed, and reusable data products. The associate will be responsible for building ingestion pipelines, curated data layers, and analytical data models using Azure native and Microsoft Fabric technologies while adhering to CSI Analytics standards, governance, and platform best practices.
    The Data Engineering Associate will be supported by the CSI Data Engineering Lead; however, the candidate is expected to be highly self driven, capable of independently solving complex data challenges, and proactive in proposing scalable and future ready solutions.
    Job Details
    Position Title: CSI Analytics Data Engineer Associate
    Key Role and Responsibilities
    This Data Engineering Associate will be responsible for delivering scalable, secure, and high quality data engineering solutions to meet exceptional client and internal stakeholder expectations. Standard work includes but is not limited to:
    Data Engineering & Platform Development
    Design, develop, and maintain end to end data pipelines using Azure Data Factory, Databricks, and Microsoft Fabric to ingest data from diverse structured and unstructured sources.
    • Knowledge to implement and manage Medallion Architecture (Bronze, Silver, Gold layers) ensuring data quality, reusability, and performance optimization across analytics use cases.
    • Develop efficient and well governed analytical data models to support reporting, advanced analytics, and downstream AI initiatives.
    • Ensure adherence to CSI Analytics engineering standards, coding best practices, and documentation guidelines.
    • Optimize data pipelines for performance, scalability, and cost efficiency within Azure and Fabric environments.
    • Extremely proficient in SQL development
    Metadata, Governance & Quality Management
    • Implement data quality checks, validation rules, and reconciliation processes to ensure accuracy, completeness, and consistency of data assets.
    • Ensure compliance with EY data security, privacy, and regulatory standards, including access controls and audit requirements.
    Qualifications, Experience and Skills Qualifications
    • Bachelors degree in computer science or a related discipline
    Experience
    • A minimum of 2-3 years of experience working in Data Engineering, Data Platform, or Enterprise Analytics roles
    • Strong hands on experience building cloud scale data solutions on Microsoft Azure
    Data Engineering and Cloud Expertise
    • Demonstrates strong expertise in Azure Data Factory, Databricks, and Microsoft Fabric for enterprise grade data engineering solutions.
    • Applies end to end data engineering skills covering ingestion, transformation, curation, and analytical modelling.
    • Implements Medallion Architecture based data platforms aligned to analytics and reporting needs.
    • Develops robust data models optimized for performance, scalability, and consumption by BI and analytics tools.
    Data Mining & Optimization
    • Connects seamlessly with multiple data sources to develop optimized, high-performance data pipelines.
    • Applies advanced data optimization techniques and demonstrates proficiency in data cleansing and formatting using SQL, Python, or other analytical tools.
    Technical Skills/Competencies
    • Strong expertise in Azure Data Factory, Databricks, and Microsoft Fabric
    • Advanced SQL and data modeling skills
    • Strong analytical, troubleshooting, and problem-solving skills
    • Good communication and stakeholder collaboration skills
    • Ability to manage ambiguity, shifting priorities, and complex data landscapes
    Behavioral Competencies
    • Teamwork
    • Integrity
    • Empathy & care
    • Ownership
    • Accountability
    • Analytical thinking and problem solving
    • Coherent communication
    • Time management and organization
    • Extreme attention to detail

    Sourced from naukri

    Section · 02

    Skills

    Data CleansingData EngineerAnalytics toolscloud data engineeringadvanced sqldata miningAnalyticsCapital MarketsData EngineeringcloudArchitectureAzure Data FactoryAdvanced AnalyticscomplianceMicrosoft AzureData ModelingArtificial 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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