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    Job · 19221008

    BENGALURU · FULLTIME

    Data Engineer II

    Schneider Electric logo

    Schneider Electric

    Bengaluru · onsite · Posted 26d ago

    Sourced fromNaukri
    Undisclosed3–5 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Job Summary

    About the Role Join our Data Engineering team to build modern cloud-based data platforms that support analytics, reporting, and business decision-making. We are looking for a Data Engineer to build and maintain scalable data solutions on AWS. The role involves developing data pipelines, implementing Lakehouse architecture using Apache Iceberg, and supporting analytics and reporting through reliable, high-quality data.

    Responsibilities

    • Build and maintain data pipelines using AWS, DBT, Python, Spark.
    • Develop data transformations using dbt and Redshift.
    • Implement and manage Lakehouse solutions using Apache Iceberg.
    • Orchestrate workflows using Airflow.
    • Work closely with business and technical teams to deliver data solutions.

    Key Skills

    • Develop and maintain data pipelines using DBT, AWS Glue, Spark, and basic Python.
    • Build and optimize data transformation workflows using dbt.
    • Implement and manage Lakehouse solutions using Apache Iceberg and Redshift.
    • Orchestrate and monitor workflows using Apache Airflow.
    • Optimize SQL queries and data models for performance and scalability.
    • Follow CI/CD and GitHub best practices for deployment and code management.
    • Collaborate with business and technical teams to deliver data solutions.
    • Ensure data quality, reliability, and operational excellence.
    • Apache Iceberg and Lakehouse concepts

    Whats In It For Me

    • Work with modern cloud and data technologies.
    • Gain hands-on experience in large-scale data engineering projects.
    • Collaborate with global teams and business stakeholders.
    • Opportunities for continuous learning and career growth.

    Qualifications

    • Bachelors degree in Computer Science, Engineering, IT, or a related field.
    • Experience in Data Engineering and cloud-based data platforms.
    • Strong knowledge of Python, SQL, AWS, Spark, and dbt.
    • Experience with Airflow, Redshift, and data modeling.
    • Good communication and teamwork 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

    Section · 02

    Skills

    data qualityAws GlueAutomationData EngineerApachedata platformsamazon web servicesdata transformationapache airflowAnalyticsdata modelsData EngineeringcloudCyber SecurityArchitecturecomplianceData ModelingData Pipeline

    Section · Company

    About Schneider Electric

    Schneider Electric logo

    Schneider Electric

    Industrial Automation

    37.0k+

    employees

    1999

    27 years old

    Paris

    France

    About

    Global leader in energy management and automation, driving sustainability and efficiency with €38.15 billion in 2024 revenue, innovating for a more sustainable future worldwide.

    Industries

    Industrial AutomationArchitecture & Interior Design

    Employee ratings

    5,153 reviews

    4.1/ 5

    Culture

    4.0

    Career growth

    3.3

    Work-life

    4.0

    Employees rate it well for

    Work Life Balance535Work Culture444Salary408Work Environment315Learning313

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    Data Engineer II · waiting for your command