Data Engineer (Detroit, MI)

| Detroit, MI
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OneMagnify is a one-of-a-kind combination of technology, creative, strategy, data, analytics, and a wide range of marketing services that cut across multiple subject areas to deliver a whole that is truly greater than the sum of its parts. Today's sophisticated business and marketing environments require a fresh, vigilant and more connected approach to human communications - and we get it. We're looking for diverse and passionate team members to come grow and own the change with us.

About You:

  • You are an experienced Data Engineer that has a passion for utilizing data tools to design, develop and build client-specific business solutions.


What You'll Do:

  • Bring disparate sources into our Hadoop data lake and creating data products that will be used by the analytics and reporting teams.
  • Data engineers will work in small, cross-functional teams.
  • collaborate directly and continuously with product managers, designers, and product owners to release early and often.
  • Work with data scientists and software engineers to support data acquisition activities, data solution ideation, and implementation
  • Work with technical and business leads to transfer global business requirements into sound solutions and implementation
  • Share support responsibilities for implemented components
  • Design data pipelines and data robots, take a vision and bring it to life
  • Master data engineer; teaches others; works closely with IT architects to set strategy and design projects
  • Lead a team of Associate Data Engineers and Data Engineers
  • Provide extensive technical, strategic advice and guidance to key stakeholders around the data transformation efforts
  • Redesign data flows to prevent recurring data issues


What You'll Need:

  • 3+ years of experience with R, Python, SAS, MATLAB, Java, etc.
  • 3+ years of Hive, Spark, JavaScript, SQL, HTML
  • 3+ years of experience with PCF cloud services
  • Experience with Hadoop, Spark, Kafka
  • Familiar with big data and machine learning tools and platforms
  • Experience with BI tools, such as Informatica, Data Stage, QlikView, Tableau, etc.
  • Strong analytical and problem-solving skills
  • Possess excellent oral and written communication skills, as well as facilitation and presentation skills, and engaging presentation style.
  • Ability to work as a global team member, as well as independently, in a changing environment and managing multiple priorities.
  • Ability to establish and maintain cooperative and effective working relationships with application implementation teams, IT project teams, business customers, and end users.
  • Ability to deliver work within deadlines.


Benefits

We offer a comprehensive benefits package including medical, dental, 401(k), paid holidays, vacations, and more.

About us

Whether it's awareness, advocacy, engagement, or efficacy, we move brands forward with work that connects with audiences and delivers results. Through meaningful analytics, engaging communications and innovative technology solutions, we help clients tackle their most ambitious projects and overcome their biggest challenges.

We are an equal opportunity employer

We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.
More Information on OneMagnify
OneMagnify operates in the Analytics industry. The company is located in Detroit, MI, Wilmington, DE and Charlotte, NC. OneMagnify was founded in 1967. It has 610 total employees. It offers perks and benefits such as 401(K), Generous PTO. To see all 25 open jobs at OneMagnify, click here.
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