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    Data Engineer with ML, Data Scientist, Data Pipeline Experience - Bentonville, United States - Diligente Technologies

    Diligente Technologies
    Diligente Technologies Bentonville, United States

    6 days ago

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    Description

    Core skills:

    Data engineering, Data analysis, Data science, Machine Learning, hypotheses & statistical data inference knowledge.

    Experience managing data pipelines, large scale of data,

    Expertise with: Kubernetes, Python, SQL, Pyspark, GCP, Azure, and Kubernetes.

    Being able to talk about

    ML, Data scientist, etc. People with background in statistical skills, etc.

    Responsibilities:

    • Experience building robust large-scale data pipelines and storage solutions using Python, Pyspark, Databricks, Google/Azure clouds, WCNP, Apache Airflow, and other relevant tools.
    • Experience with batch processing/scheduling frameworks like Apache Airflow, and event processing frameworks like Apache Kafka/Streams etc.
    • Experience designing and managing datawarehouses and datalakes like BigQuery, GCS, Deltalake. Reporting/Dashboarding tools like Google looker, Tableau, MS Power BI. Familiarity with automated ML frameworks like or Element.
    • Experience with data-quality and pipeline-health monitoring and alerting solutions like Prometheus, Grafana, Splunk etc. Good understanding of DevOps and MLOps practices.
    • Solid understanding of data engineering, data analysis, and data visualization disciplines.

    Notes:

    • Bachelor's degree in Computer Science or equivalent is required. Strong expertise in data analysis, data visualization, and machine learning algorithms.
    • Position requires candidate to work from our Bentonville office at least 2 days of the week. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
    • Must be able to deliver with little to no supervision or support, as this will be a new team we are building in Bentonville.
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