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    Data Engineer - Chicago, United States - Darwill

    Darwill
    Darwill Chicago, United States

    2 weeks ago

    Default job background
    Description

    Overview :
    Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago.

    As a premier provider of complex marketing products, including direct mail, employee communications and marketing collateral, we influence excellent results for CMO's, Directors of Marketing and Print Production Professionals by providing ideas, workflow solutions, cutting edge production technologies and a seamless execution process.

    Our diverse product offering includes data acquisition, email appends, integrated marketing services, production workflows, custom print production, direct mail solutions, fulfillment and complete lettershop, bindery and mailing services.


    Reports to:
    Sr. Manager, Data Engineering

    Responsibilities/Essential Functions:
    Darwill is growing and we are looking to add a Data Engineer to our existing Data Engineering Practice.

    The Data Engineer will work as part of a collaborative team to build and maintain scalable data platforms that support data-informed decision-making across the organization.

    This role will have significant impact as Darwill modernizes its data platform to a best-in-breed solution.

    • Build and maintain data infrastructure and manage data storage and use.
    • Build data expertise and own data quality across organization.
    • Design, build, and launch new data models and efficient data pipelines (including ETL processes) in production.
    • Partner with cross-functional teams of Account Executives, Data Scientists, and Software Engineers to understand data needs and deliver on those needs.
    • Build and maintain reporting dashboards using BI tools like Tableau.
    • Support data processing and reporting at scale on a cloud-based platform.
    • Triage mission-critical issues and drive to resolution.
    • Support existing processes running in production.


    Qualifications:

    • Master of Science in Computer Science, Data Science, or other technical field
    • 5 years of hands-on engineering experience, with relevant certifications, accepted in lieu of degree.
    • 5+ years' experience working in SQL and relational database management systems.
    • 5+ years' experience with dimensional data modeling, schema design, and data warehousing.
    • 3+ years' experience in ETL design, implementation, and maintenance.
    • 3+ years' experience with AWS.
    • 3+ years' experience with Spark/Databricks in a production environment.
    • Ability to write well-abstracted, reusable code.
    • Ability to analyze data to identify deliverables, gaps, and inconsistencies.
    • Ability to decompose and solve data problems and to find answers on own.
    • Very strong communication skills and ability to work collaboratively with peers and stakeholders.
    • Strong leadership skills. DE are expected to be able to work independently and in collaboration with technical and non-technical roles. You will have the opportunity to lead projects independently.
    Preferred

    Qualifications:

    • Experience in a Direct Marketing/Measurement company.
    • Databricks Certified Data Engineer and/or Certified Machine Learning credentials.
    • AWS Big Data/Analytics and/or Machine Learning Certifications.
    • Experience developing and/or maintaining feature stores in support of machine learning model development.
    • Consulting or start-up experience.
    • Experience in shipping production data products.

    Work Environment/Physical Demands:

    • This job requires you to sit in a cubicle or office, on a computer (1 or more monitors) for the majority of the day.
    • May be required to work extended/evening hours as needed.
    • This job is work-from-home eligible. [Full Time]
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