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    Data Engineer - Pune, India - Hiringhood

    Hiringhood
    Hiringhood Pune, India

    3 weeks ago

    Default job background
    Description
    Primary Skills:
    • DynamoDB
    • Java
    • Kafka
    • Spark
    • Amazon Redshift
    • AWS Lake Formation
    • AWS Glue
    • Python
    Job Description:
    • Having solid experience as a Data Engineer with a clear career progression.
    • Strong hands-on programming skills.
    • Proficient in working with Kafka, Kinesis, Spark, AWS Glue, and AWS Lake Formation.
    • Thorough understanding of Python, Scala/Java, AWS services (Lambda, Step Functions, DynamoDB, EMR), Terraform, UI technologies like Angular, Git, and Maven.
    • Experience in optimizing performance for both batch and real-time data processing applications.
    • Specialized in Data Governance and Data Security setup.
    • Skilled in designing and developing reusable tools and products.
    Experience in AWS or other similar cloud platforms.
    Preferred:
    • Knowledge of ECS, EKS, S3, EMR, DynamoDB, Aurora, Redshift, QuickSight, or equivalents.
    • Familiarity with high transaction volume systems, microservices architecture, and data processing pipelines (e.g., Spark).
    • Hands-on experience with serverless technologies like Lambda, MSK, MWAA, and Kinesis Analytics is a plus.
    • Proficiency in Agile methodologies, conducting Peer reviews, and Continuous Integration practices.
    Roles and Responsibilities:
    • Define project requirements and create work schedules for the team.
    • Assign tasks and ensure timely accomplishment of daily, weekly, and monthly objectives.
    • Responsible for the design, development, testing, and deployment of software releases.
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