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    Data Engineer - Hyderabad, India - Tech Mahindra

    Tech Mahindra
    Tech Mahindra Hyderabad, India

    Found in: Talent IN 2A C2 - 1 day ago

    tech mahindra background
    Technology / Internet
    Description

    Title: Data Operations Associate

    Location: Hyderabad

    Experience: 6+years

    NP: Immediate to 15days

    Company Profile:

    Tech Mahindra represents the connected world, offering innovative and customer-centric information technology experiences. We #Rise together to create sustainable businesses that can bring about lasting change in our communities – to create an equal world, to be future ready, and to create value. We are 152,000+ professionals across 90 countries, helping 1297 global customers including Fortune 500 companies

    Job Description:

    Primary Responsibilities

    • high quality client service externally and internally. Address inquiries, perform controls, data modeling, resolve problems, and mitigate risks for clients and internal partners.
    • daily internal verification checks to ensure data is accurate and available within SLAs.
    • and troubleshoot data pipeline issues and feed processing exceptions and triaging with Data Engineering Support when needed.
    • complete and maintain operational workflows and identify and execute opportunities for optimization.
    • and resolve complex and intricate issues and perform ad-hoc analysis of large data sets while meeting tight deadlines
    • with data engineers related to optimizing application logic and functionality in the Azure Gen2 Data Lake, Data Factory, Data Bricks and SQL Database environments.
    • knowledge of the firm's operational data hubs and warehouse schema.
    • on cross-functional teams to represent the Data Team on various projects.
    • proven communication and problem-solving skills to resolve support issues as they arise.
    • responsibilities

    Qualifications

    Strong sense of urgency

    Bachelor's degree in Computer science, Information Systems or equivalent experience required.

    3+ years served as Data Engineer or Data Operations role

    3+ years of experience working with SQL

    2+ years of experience with Microsoft Azure Data Lake, Data Factory, and SQL Database products or equivalent products from other cloud services providers

    Expert knowledge and experience developing efficient ETL data pipelines having multiple sources

    • Experienced in the use of standard ETL tools and techniques (e.g. SSIS or any equivalent ETL tools)

    Familiar with modern data lake, data warehousing, and ETL/ELT concepts

    • Knowledgeable about data modeling, data access, and data storage techniques.

    Ability to work in an Agile Scrum environment

    Strong written and verbal communication skills

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