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    Data Engineer - Milwaukee, United States - TIER4 GROUP

    TIER4 GROUP
    TIER4 GROUP Milwaukee, United States

    3 weeks ago

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    Description

    Job Description

    Job Description

    Role: Data Engineer (All Levels)

    Location: Milwaukee, WI

    Schedule: 4 days a week onsite, work from home on Wednesday

    Perks: Competitive base, bonus, matching 401K, Benefits

    Our top manufacturing client is looking to bring on a Data Engineer to the team.

    The successful candidate will have strong verbal and written communication skills and effectively communicate with the client and internal team. A strong understanding of databases, SQL, cloud technologies, and modern data integration and orchestration tools.

    Essential Duties and Responsibilities:

    • Lead design sessions to develop ETL logic that meets business and data scientists requirements.
    • Create and build robust data structures to support end user's analysis and decision-making across multiple business verticals. This includes both end-to-end architecting and business solutions.
    • Provide mentoring on database systems to other development and business teams.
    • Monitor data warehouse eco-system and identify opportunities to make enhancements.
    • Provide support in fixing database and data quality issues via reverse engineering.
    • Contribute to and care about data quality efforts, ensuring data accuracy and transparency for our stakeholders.
    • Participate in brainstorming sessions and contribute ideas to our technology, algorithms, and products.
    • Adhere to timelines and excel in a fast-paced, high-energy environment.
    • Drive data best practices and contribute to the development of overall data strategy and roadmap.

    Required Knowledge, Skills & Abilities

    • Bachelors degree in CIS, MIS, IT, or related Database Theory degree; or equivalent experience
    • 4+ years of experience in the development and maintenance of complex data systems (Entry level is fine)
    • Working knowledge of emerging database technologies such as Elastic Search, Big Query, Mongo or equivalent.
    • Excellent database tuning techniques and practices, including partitioning, performance tuning, and working with application development teams for enhanced performance
    • At least 1 year of Spark experience.
    • Advanced experience leveraging various strategies for ingesting, modeling, processing, and persisting data as well as excellent analytical and problem-solving skills.
    • Troubleshoot live site issues, engage appropriate parties, and drive through to resolution

    Desired Knowledge, Skills & Abilities

    • Masters degree, MBA or Ph.D. degree is a plus.
    • Cloud Experience preferred (e.g. AWS, Azure, Google Cloud Platform, etc.). Demonstrated Azure experience with Data Factory, Analysis Services, SQL Managed Instance, Synapse, and DevOps.
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