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    Job · 22453871

    MetLife logo

    Associate Big Data Engineer

    MetLife · Pune · onsite · Posted 1d ago

    Undisclosed0–3 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Details
    • Location: Pune, Maharashtra
    • Working Schedule: Full-Time
    • Work Arrangement: Hybrid
    • Relocation Assistance: No
    Job Summary
    The Associate Big Data Engineer is responsible for designing, developing, and maintaining scalable data engineering solutions that enable trusted data, advanced analytics, and actionable business insights across MetLifes global operations. This role contributes to MetLifes Data & Analytics vision by supporting the collection, processing, storage, and delivery of structured and unstructured data across cloud and on-premise environments.
    Guided by MetLifes purpose of
    "Always with you, building a more confident future,"
    this position offers an exciting opportunity to work with modern big data technologies, cloud platforms, and enterprise-scale analytics ecosystems. The role provides exposure to end-to-end data engineering practices, collaboration with global teams, and opportunities to contribute to innovative data and AI-driven initiatives that create measurable business value.
    Responsibilities
    • Design, build, and maintain robust ETL/ELT data pipelines on Azure cloud and on-premises platforms for large-scale data ingestion and processing.
    • Develop scalable data engineering solutions using technologies such as Apache Spark, Hadoop, Hive, Python, and SQL.
    • Ensure data quality, security, governance, and compliance standards are consistently followed throughout the data lifecycle.
    • Collaborate with business stakeholders, technology teams, operations teams, and Data & Analytics functions to deliver reliable data solutions.
    • Support batch and real-time data processing requirements using cloud-native services including Azure Data Factory, Event Hub, Azure Functions, Databricks, and Synapse Analytics.
    • Contribute to data warehouse, data mart, and data lake initiatives to enable enterprise reporting, analytics, and data science solutions.
    Qualifications
    • Bachelors degree in Computer Science, Information Technology, Engineering, or a related discipline.
    • 0-3 years of experience in Data Engineering, Big Data, Data Analytics, or related technology domains.
    • Proficiency in SQL and programming languages such as Python or Scala.
    • Experience with ETL/ELT pipeline development and data integration processes.
    • Knowledge of Big Data technologies including Apache Spark, Hadoop, and Hive.
    • Familiarity with Azure cloud services such as Azure Data Factory, Databricks, Synapse Analytics, Event Hub, and Azure Functions.
    • Understanding of NoSQL and distributed databases such as HBase and Cosmos DB.
    • Strong analytical, problem-solving, and communication skills.
    • Ability to work effectively in a collaborative and fast-paced team environment.
    Preferred Qualifications
    • Exposure to GenAI technologies, AI-powered development tools, or machine learning concepts.
    • Knowledge of data warehouses, data marts, and data lake architectures.
    • Understanding of data governance, data quality, and data modeling principles.
    • Experience working in cloud-based data engineering environments.
    • Demonstrated curiosity, learning agility, and a passion for emerging technologies and innovation.
    • Strong stakeholder management and cross-functional collaboration skills.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    Apache Sparkcloud platformsApacheCosmos DBbusiness insightsCOSMOSAnalyticsData AnalyticscloudCommunication SkillsAzure Data FactoryAdvanced AnalyticscomplianceMicrosoft AzureBig DataAzure FunctionsArtificial Intelligence

    About MetLife

    MetLife logo

    MetLife

    Insurance

    4k+

    employees

    2008

    18 years old

    New York

    United States (USA)

    ₹9.3L PA avg

    Avg at MetLife

    About

    As a global leader in protection planning, MetLife offers insurance and financial solutions, serving individuals and businesses in over 50 countries.

    Industries

    InsuranceFinancial Services

    Employee ratings

    10 reviews

    4.0/ 5

    Culture

    3.5

    Career growth

    3.3

    Work-life

    3.7

    Employees rate it well for

    Job Security42Work-Life Balance42

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