Rave Technologies (India) Pvt Ltd | Jobs | Junior Data Engineer | BigDataKB.com | 03-02-22

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    Job Location: Mumbai

     

    Key Functions

    Proficient in building optimal data pipeline by close liaising with architect recommendations and best practices

    Work with data and domain experts to strive for greater predictive functionalities for T&F systems (legacy and modern cloud apps).

    Key Objectives

    Ability to work with large and complex data sets and have a good eye on meeting the non-functional business requirements such as automation principles, scalability and optimized data delivery.

    Ability to implement actionable insights leveraging the pro-active or pre-emptive measures and algorithms around the data driven architecture.

    Competencies

    Essential:

    Strong verbal and written communication skills.

    Strong Analytical skills

    Proactive attitude to problem resolution.

    Able to perform a detailed Impact analysis.

    Able to understand wireframes and give suggestions for improvement of the same.

    Technologies Hands-on Experience (Years) Priority

    RDBMS(SQL, Oracle, NO SQL) 2+ 1

    Data Scripting: Phyton/R 2+ 1

    Hadoop 2+ 1

    Spark 2+ 1

    AWS cloud services: EC2, ECS,

    RDS, Redshift, S3, VPC 2+ 1

    Desirable: Technologies Hands-onExperience (Years) Priority

    Experience of working with the

    Scrum Agile development methodology 2+ 2

    CI with Jenkins or similar, Git/GitHub,

    Gradle, Nexus 2+ 2

    Experience of working with mixed

    onshore/offshore development teams 2+ 2

    Experience of working on Defect / Requirement Management Tool (eg: Jira, Mingle)

    Able to perform root cause analysis of problems and identify a solution to the problem.

    Work flexibly and imaginatively in a changing and evolving project environment.

    Responsibilities

    Proficient in building optimal data pipeline by close liaising with architect recommendations and best practices

    Ability to work with large and complex data sets and have a good eye on meeting the non-functional business requirements such as automation principles, scalability and optimized data delivery.

    Working proficiency in building enterprise level ETL AND business analytics from wide variety of data sources (SQL and No-SQL) and big-data technologies

    Working experience in build open source analytics tools (Tableau, Power BI is also preferred) by utilizing the data pipeline, address KPIs and operational efficiencies.

    Ability to implement actionable insights leveraging the pro-active or pre-emptive measures and algorithms around the data driven architecture.

    Work with data and domain experts to strive for greater predictive functionalities for T&F systems (legacy and modern cloud apps).

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