Data Engineer with PowerBI - India - confidential

    confidential
    confidential India

    6 days ago

    Full time $80,000 - $150,000 (USD) per year
    Description

    About Company:

    Our client is a global technology company headquartered in Santa Clara, California. it focuses on helping organisations harness the power of data to drive digital transformation, enhance operational efficiency, and achieve sustainability. over 100 years of experience in operational technology (OT) and more than 60 years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetise their data to improve their customers' experiences, develop new revenue streams and lower their business costs. Over 80% of the Fortune 100 trust our client for data solutions.

    The company's consolidated revenues for fiscal 2024 (ended March 31, approximately $57.5 billion USD., and the company has approximately 296,000 employees worldwide. It delivers digital solutions utilising Lumada in five sectors, including Mobility, Smart Life, Industry, Energy and IT, to increase our customers' social, environmental and economic value.

    Job Description

    Job Title: Data Engineer with PowerBI

    Location: Remote

    Experience: 6+ yrs.

    Employment Type: Contract to hire

    Work Mode: WFH

    Notice Period: Immediate joiners

    Mandatory Skills:

    • Data Engineer
    • Python
    • SQL
    • AWS
    • PowerBI
    • DSA

    Roles and Responsibilities:

    • 5-8 years of experience in Data Engineering or related fields.
    • Strong expertise in AWS cloud services (AWS Lambda, Glue, Athena, S3, etc.).
    • Proficiency in Python and SQL.
    • Solid understanding of data architecture and modeling concepts.
    • Experience with ETL tools (e.g., Pentaho, SSIS, Informatica, HVR).
    • Knowledge of database, data warehouse, and big data technologies.
    • Experience with monitoring and logging solutions.

    Preferred Skills

    • Knowledge of AI/ML and large language models (LLMs).
    • Experience with REST APIs and Salesforce APIs.

    Technologies

    • AWS Lambda, AWS Glue, Athena, S3, Redshift, EC2
    • Airflow, Spark, Linux

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