Dremio | Jobs | Data Engineers | BigDataKB.com | 10-02-22

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    Job Location: Remote

    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.

    Apply Here

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