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    Job · 15007032

    PUNE · FULLTIME

    Data Engineer

    Infosys logo

    Infosys

    Pune · onsite · Posted 50d ago

    Sourced fromNaukri
    Undisclosed6–8 yrsfulltimePune

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

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    Section · 01

    About this role

    Educational Requirements
    Bachelor of Engineering, BCS, BBA, BCom, MCA, MSc
    Service Line
    Data Analytics Unit
    Responsibilities
    • Design, develop, and optimize scalable batch and real-time data pipelines.
    • Build and maintain robust ETL/ELT processes for ingesting, transforming, and loading data from multiple sources.
    • Develop and manage data lakes, data warehouses, and metadata frameworks.
    • Collaborate with cross-functional teams to understand data requirements and deliver data solutions.
    • Ensure data quality, governance, lineage, and security standards are maintained.
    • Monitor, troubleshoot, and optimize data workflows and pipeline performance.
    Technical and Professional Requirements:
    • Databricks Certification
    • Azure Data Engineer Associate Certification
    • AWS Data Analytics Certification
    • Experience with Delta Lake, Iceberg, or Lakehouse Architecture
    • Knowledge of GenAI/LLM data pipelines
    Preferred Skills:
    • Technology->Data Engineering->Databricks

    Sourced from naukri

    Section · 02

    Skills

    data qualityData Engineerworkflowsamazon web serviceseltSecurity StandardsmetadatalakehouseicebergLarge Language Models (LLMs)Data AnalyticsDatabricksData EngineeringArchitectureazure data engineerETLMicrosoft AzureData Pipeline

    Section · Company

    About Infosys

    Infosys logo

    Infosys

    IT Services & Consulting

    323.6k+

    employees

    1981

    45 years old

    Bengaluru/Bangalore, Karnataka

    India

    About

    Infosys is a global leader in next-generation digital services and consulting.

    Industries

    IT Services & ConsultingConsulting

    Employee ratings

    48,765 reviews

    3.5/ 5

    Culture

    3.6

    Career growth

    2.6

    Work-life

    3.6

    Employees rate it well for

    Salary10252Work Life Balance6251Work Culture5404Learning4530Appraisal3780

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    Data Engineer · waiting for your command