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    Data Engineer - Bengaluru, India - Joveo

    Joveo
    Joveo Bengaluru, India

    1 day ago

    Default job background
    Technology / Internet
    Description

    We are looking for talented Data Engineers who are passionate about data engineering and have strong experience in building scalable data pipelines.

    As a Data Engineer at Joveo, you will play a leading role in designing and building datasets that power analytics for teams across Joveo.

    You will also be working closely with Data Analysts, Data Scientists, and stakeholders to gather requirements and translate them into a data engineering roadmap for the team.


    You will be joining the Eng - -data team which is responsible for building and maintaining datasets for people analytics.

    We extract data from various data sources and build a consolidated data view for data analytics and reporting to our leadership.

    We have also been growing our data engineering practices to enable leadership to make the right decisions by building solid people data foundations.


    Responsibilities:
    Develop and automate large-scale, high-performance data processing systems.
    Lead data engineering projects to ensure pipelines are reliable, efficient, and maintainable
    Design data models for optimal storage and retrieval and to meet business requirements.
    Own and Drive complex architectural changes.
    Should be self-motivated and passionate about bringing efficiency into the system through optimizations.
    Should be able to raise the technical bar for other engineers by proposing and driving innovative ideas.


    Requirements:
    2-5 years of relevant industry experience, preferred in a start-up environment.
    2+ years of data modeling experience.
    Minimum 1 year of designing and implementing a fully operational production-grade large-scale data solution on Snowflake Data Warehouse.
    Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies.
    2 years of hands-on experience designing and implementing production-grade data warehousing solutions on large-scale data technologies such as Snowflake, Teradata, Oracle, or DB2
    Strong experience in SQL, along with Python/java/scala.
    Experience designing and deploying high-performance systems with reliable monitoring and logging practices.
    Experience with designing and implementing real-time pipelines.
    Experience with SQL performance tuning and E2E process optimization.
    Experience with workflow management engines e. g Airflow.
    Experience with a cloud platform AWS preferred.
    Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.
    Experience with data quality and validation.
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