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    ROKU Data Operations and Reporting - Bengaluru, India - Athreya Business Consultancy

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    Full time
    Description

    Job Title: ROKU Data Operations and Reporting

    Experience : 3 to 5 years of experience in software development

    Job Location: Bangalore

    Job Type: Full Time

    Industry: software development

    Job Description:

    Overview:

    In this role, you will leverage your strong analytical skills to triage and investigate data quality and data pipeline exceptions and reporting issues.

    The ideal candidate should be able to work independently and actively engage other functional teams as needed. This role requires researching transactions and events using large amounts of data.

    Technical Experience/Qualifications:

    At least 3 to 5 years of experience in software development ,SQL experience in any RDBMS

    Minimum 3 years of experience in Python

    Strong analytical and problem-solving skill ,communication skill ,data modeling ,data analysis and reporting.

    Experience with version control tools such as GitHub etc., shell scripting and Linux

    Knowledge of agile and scrum methodologies

    Preferred experience in Hive SQL or related technologies such as Big Query etc.

    Preferred experience in Big data technologies like Hadoop, AWS/GCP, S3, HIVE, Impala,

    HDFS, Spark, MapReduce

    Preferred experience in reporting tools such as Looker or Tableau etc.

    Preferred experience in finance and accounting but not required

    Responsibilities:

    Develop SQL queries as per technical requirements

    Investigate and fix day to day data related issues

    Develop test plan and execute test script

    Data validation and analysis

    Develop new reports/dashboard as per technical requirements

    Modify existing reports/dashboards for bug fixes and enhancements

    Develop new ETL scripts and modify existing in case of bug fixes and enhancements

    Monitoring of ETL processes and fix issues in case of failure

    Monitor scheduled jobs and fix issues in case of failure

    Monitor data quality alerts and act on it



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