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    Data Engineer - Pune/Hyderabad, India - Promaynaov Advisory Services Pvt Ltd

    Promaynaov Advisory Services Pvt Ltd
    Promaynaov Advisory Services Pvt Ltd Pune/Hyderabad, India

    6 days ago

    Default job background
    permanent Technology / Internet
    Description

    Role :
    Data Engineer


    Location :
    Pune/Hyderabad

    In this role, you will :


    Principal Responsibilities :
    As a key member of the technical team alongside Engineers, Data Scientists and Data Users, you will be expected to define and contribute at a high-level to many aspects of our collaborative Agile development process

    • Software design, Scala & Spark development, automated testing of new and existing components in an Agile, DevOps and dynamic environment
    • Promoting development standards, code reviews, mentoring, knowledge sharing
    • Production support & troubleshooting.
    • Implement the tools and processes, handling performance, scale, availability, accuracy and monitoring
    • Liaison with BAs to ensure that requirements are correctly interpreted and implemented.
    • Participation in regular planning and status meetings. Input to the development process through the involvement in Sprint reviews and retrospectives. Input into system architecture and design.
    • Peer code reviews.
    • To be successful in this role, you should meet the following requirements: (Must have Requirements)
    • Scala development and design using Scala 2.10+ or Java development and design using Java 1.8+.
    • Experience with most of the following technologies (Apache Hadoop, Scala, Apache Spark, Spark streaming, YARN, Kafka, Hive, Python, ETL frameworks, Map Reduce, SQL, RESTful services).
    • Sound knowledge on working Unix/Linux Platform
    • Handson experience building data pipelines using Hadoop components
    • Hive, Spark, Spark SQL.
    • Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA.
    • Understanding of big data modelling techniques using relational and nonrelational techniques
    • Experience on Debugging the Code issues and then publishing the highlighted differences to the development team/Architects;
    • The successful candidate will also meet the following requirements

    Good to have Requirements :

    • Experience with timeseries/analytics dB's such as Elastic search.
    • Experience with scheduling tools such as Airflow, Control-M.
    • Understanding or experience of Cloud design patterns
    • Exposure to DevOps & Agile Project methodology such as Scrum and Kanban.
    • Experience with developing Hive QL, UDF's for analysing semi structured/structured datasets.
    Immediate joiners preferred, max 45 days (must be serving notice)
    )
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