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    Data Engineer


    Full Time


    Role: Data Engineer

    Location: Hybrid (Bangalore/Hyderabad)

    About Joveo

    Joveo was founded in 2017 by a group of visionary entrepreneurs and enthusiastic problem solvers who foresaw the need for greater transparency and predictability in recruitment marketing. The focus was on building a cutting-edge technology platform that uses data and machine learning to enable employers, staffing agencies, RPOs, advertising agencies, and job sites to address this need better and more cost-effectively.


    We're the global leader in programmatic job advertising driving next-gen recruitment technology solutions for employers around the world. Harnessing machine learning and industry expertise, our platform delivers the most relevant candidates in the shortest time, giving our customers a competitive edge. Backed by marquee investors like Nexus Ventures Partners, Joveo has been featured in Inc. Magazine’s List of America’s Fastest-Growing Private Companies 2023.


    JOVEO stands for a job for everyone. That's our mission - to deliver the right job to everyone in the world. Powering more than twenty million jobs every day, we're changing the way recruitment media buying is done. This has never been more important. It’s not just about talent deployment – it’s about saving lives and families!

    About The Role

    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 Engineering 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.

    What You Will Do:

    • Develop and automate large-scale, high-performance data processing systems.
    • Lead data engineering projects to ensure pipelines are reliable, efficient & 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.


    What You Will Need:


    • 2-5 years of relevant industry experience, pref 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 engine 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.