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    Data Engineer - Hyderabad, India - ACL Digital

    ACL Digital
    ACL Digital Hyderabad, India

    Found in: Appcast Linkedin IN C2 - 7 hours ago

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    Description

    Dear Folks,

    We are hiring for the position of as AWS Data Engineer at Hyderabad location.

    Only Interested and relevant candidates can share their resume at )

    Notice Period Required : Immediate to 15 Days Max

    Designation : AWS Data Engineer

    Experience Required : 3 to 12 years

    Qualification : Bachelor's or master's degree in EC/CE/IT or any similar degree.

    Job Location : Hyderabad

    Job Description:

    We are seeking a talented AWS Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with proficiency in AWS cloud services, including AWS S3, Athena, Glue, and Lambda. Experience with Databricks, Python programming, and PySpark is essential for this role. The successful candidate will play a key role in designing, implementing, and maintaining data pipelines and infrastructure to support our data processing and analytics needs.

    Responsibilities:

    • Design, develop, and maintain scalable data pipelines and infrastructure on AWS cloud platform.
    • Implement data processing solutions using AWS services such as S3, Athena, Glue, Lambda, etc.
    • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
    • Optimize and tune data pipelines for performance, reliability, and cost efficiency.
    • Develop and maintain documentation related to data pipelines, workflows, and infrastructure.
    • Stay updated with the latest trends and best practices in data engineering and AWS cloud services.

    Requirements:

    • Bachelor's degree in Computer Science, Engineering, or related field.
    • Proven experience as a Data Engineer or similar role.
    • Strong proficiency in AWS cloud services, including AWS S3, Athena, Glue, and Lambda.
    • Experience with Databricks for big data processing and analytics.
    • Proficiency in Python programming language.
    • Experience with PySpark for data processing and analysis.
    • Solid understanding of data warehousing concepts and practices.
    • Excellent problem-solving and analytical skills.
    • Strong communication and collaboration skills.

    Regards,

    Narendra Kumar

    Link -

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