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    AWS Data Engineer - Mumbai, India - CodeVyasa

    CodeVyasa
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    Description
    Looking for

    AWS Data Engineer | Mumbai

    to join a team of rockstar developers. The candidate should have a minimum of 2+ yrs. of experience in Data Engineer.
    There are multiple openings.

    If you're looking for career growth & a chance to work with the top 0.1% of developers in the industry, this one is for you You will report into IIT'ans/BITS grads with 10+ years of development experience + work with F500 companies (our customers).

    Company Background

    • We are a multinational software company that is growing at a fast pace. We have offices in Florida & New Delhi. Our clientele spreads across the US, Australia & APAC. Here's the link to our website ). To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q2 2024.

    Responsibilities:

    • Design, build, and maintain scalable data pipelines using Kafka and its connectors for real-time data ingestion and processing.
    • Develop and optimize ETL processes to extract, transform, and load data from various sources into our data warehouse.
    • Implement data storage solutions on cloud platforms such as S3 and Redshift, ensuring data integrity, security, and performance.
    • Collaborate with data analysts and data scientists to understand data requirements and deliver actionable insights.
    • Monitor pipeline performance, troubleshoot issues, and implement optimizations to ensure reliability and efficiency.
    • Document system architecture, processes, and best practices to facilitate knowledge sharing and onboarding of new team members.

    Requirements:

    • Bachelor's degree in Computer Science, Engineering, or related field.
    • 2-5years of hands-on experience in data engineering roles.
    • Proficiency in Python programming for data manipulation and scripting.
    • Strong understanding of Kafka and its connectors for building real-time data pipelines.
    • Experience with ETL tools and frameworks for data integration and transformation.
    • Familiarity with cloud-based data storage solutions, particularly S3 and Redshift.
    • Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders
    Here is what we have on offer for youGlassdoor's rating of 4.8Free healthcareLaser-sharp focus on upskilling our employeesDiverse & Inclusive teamsIndustry-par compensation & benefitsGreat work-life balance


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