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    Data Engineer - Wisconsin, United States - Snow Fox Data, a Division of Excelion Partners

    Snow Fox Data, a Division of Excelion Partners
    Snow Fox Data, a Division of Excelion Partners Wisconsin, United States

    2 weeks ago

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    Description

    The Skinny:

    • This is a Full-Time Direct Hire role with Snow Fox Data.
    • This role can sit remote but the candidate must be located within Wisconsin.
    • Must have Cloud Data Engineering experience and Azure Data Factory Professional Experience.
    • No C2C options for this role at this time.
    • The salary range is flexible (open to negotiation), but the ideal range is $120,000 - $150,000 a year + FTE Benefits, potential bonus (discretionary), and remote. Salary is dependent upon skills, experience, etc.
    • Must be willing to work within a CST timeframe.

    About Snow Fox Data:

    Snow Fox Data is a premier data strategy, data science and analytics solutions provider. Headquartered in snowy Wisconsin and serving customers worldwide, we provide a vast landscape of knowledge that supports your success through data-driven decision-making. A passionate team of data architects, data scientists, data engineers, and data analysts, Snow Fox Data empowers you to make a difference with data. Whether your organization needs a better data strategy, improved KPIs, ad-hoc analytics, or a machine learning solution, we meet you where you are in your data journey and get you to where you need to go.

    Position Overview:

    We are seeking a talented Data Engineer with experience in Azure Data Factory to join our team The ideal candidate will have hands-on experience in cloud data engineering initiatives, particularly within the Azure ecosystem. As a Data Engineer at Snow Fox Data, you will play a crucial role in designing, implementing, and optimizing data pipelines to support our client's data-driven initiatives and drive actionable insights for their business.

    Key Responsibilities:

    • Design, develop, and deploy scalable and efficient data pipelines.
    • Collaborate with cross-functional teams to gather requirements, understand data needs, and architect well-designed solutions.
    • Implement data integration solutions to ingest, process, and transform large volumes of structured and unstructured data from diverse sources.
    • Optimize data pipelines for performance, reliability, and scalability to meet business requirements.
    • Ensure data quality and integrity throughout the data pipeline lifecycle.
    • Troubleshoot and debug issues with data pipelines, identifying and implementing solutions in a timely manner.
    • Stay updated with the latest trends and best practices in cloud data engineering and incorporate them into our processes and solutions.

    Requirements:

    • Bachelor's degree in computer science, engineering, or related field.
    • 5+ years of hands-on experience in data engineering, with a focus on cloud-based solutions.
    • Proficiency in Azure Data Factory and other relevant Azure services (e.g., Azure SQL Database, Azure Blob Storage, Azure Data Lake, Azure Databricks).
    • Strong understanding of data modeling, ETL/ELT processes, and data warehousing concepts.
    • Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
    • Excellent problem-solving skills and ability to troubleshoot complex data engineering issues.
    • Strong SQL skills.
    • Effective communication and collaboration skills, with the ability to work well in a team environment.

    Preferred Qualifications:

    • Azure Data Engineer Associate or related certifications.
    • Experience with other cloud platforms (e.g., AWS, Google Cloud Platform).
    • Knowledge of big data technologies (e.g., Hadoop, Spark).
    • Experience with data visualization tools (e.g., Power BI, Tableau).
    • Snowflake experience is a major plus.
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