Dremio | Jobs | Data Engineer | BigDataKB.com | 30-03-22

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    Job Location: Remote

    Dremio’s development leaders ensure that Dremio Cloud & our Data Lake value-add for the industry is enhanced with scalable, resilient solutions with uptime & performance that matches SLAs. Dremio is growing quickly and building cloud infrastructure, SaaS & services that enable developer velocity will have an immediate and visible impact on Dremio’s success. You will be enabling data-driven decision making and customer engagement by creating a self-service semantic layer for the product and sales teams to leverage.

    What you’ll be doing

    • Creating and maintaining a data lake of customer and product usage metrics, which will be used to derive insights to drive product and growth strategies.
    • Design and implement workflows for ingestion and transformation for various data sources (S3, GCS, Google Analytics).
    • Optimize the retrieval of structured and unstructured data to make it actionable in real time.
    • Help develop a strategy for a long term data architecture, which will allow Dremio to make effective data-driven decisions to optimize the customer’s experience.
    • Develop and maintain scalable and reliable data pipelines to support gradual increases in data volume and complexity.
    • Collaborate with the Product Management and Engineering teams to incorporate new use cases and sources of data

    What we’re looking for

    • 5+ years of experience as a data engineer in a SaaS environment
    • Strong logical and analytical skills
    • Deep understanding  of data lakes and relational databases
    • Knowledge of data formats such as JSON and Parquet
    • Experience with Apache Spark, Python libraries such as Pandas for data manipulation
    • Experience with AWS and GCP
    • Experience with ETL/ELT tools
    • Experience working with data projects and ensuring the highest levels of data integrity and quality.
    • You can scope, schedule, and resource complex projects in collaboration with other partners such as Product and Engineering.
    • Experience working with CI/CD pipelines, DevOps and delivering quality in a fast paced environment.
    • Familiarity with BI and data science tools such as Tableau, Superset, Jupyter.
    • Excellent communication skills with both technical and non-technical audiences.

    Bonus points if you have

    • Experience with Apache Iceberg

    Apply Here

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