Apollo.io | Jobs | Data Engineer | BigDataKB.com | 31-03-22

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    Job Location: Remote

    YOUR ROLE AND MISSION:

    As a data engineer, you will be responsible for maintaining and operating the data warehouse and connecting in Apollos data sources.

    DAILY ADVENTURES/RESPONSIBILITIES

    • Develop and maintain scalable data pipelines and build new integrations to support continuing increases in data volume and complexity.
    • Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while building the consumption pipelines
    • Implement processes and systems to monitor data quality, ensuring production data is always accurate and available.
    • Write unit/integration tests, contributes to engineering wiki and document work.
    • Define company data models and write jobs to populate data models in our data warehouse.
    • Work closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.

    COMPETENCIES:

    • Excellent communication skills to work with engineering, product, and business owners to develop and define key business questions and build data sets that answer those questions.
    • Self-motivated and self-directed
    • Inquisitive, able to ask questions and dig deeper
    • Organized, diligent, and great attention to detail
    • Acts with the utmost integrity
    • Genuinely curious and open; loves learning
    • Critical thinking and proven problem-solving skills required

    QUALIFICATIONS:

    Required:

    • Bachelors degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
    • Experience in data modeling, data warehousing, and building ETL pipelines
    • Deep knowledge of data warehousing with an ability to collaborate cross-functionally

    Preferred:

    • 2+ years experience in data engineering or a similar role
    • Experience using the Python data stack
    • Experience deploying and managing data pipelines in the cloud
    • Experience working with technologies like Airflow, Hadoop and Spark
    • Understanding of streaming technologies like Kafka, Spark Streaming

     

    Apply Here

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