Advantage Technical | Data Engineer | Dearborn, MI | United States | BigDataKB.com | 22 Oct 2022

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Job Location: Dearborn, MI

The Enterprise Fulfillment team seeking a Data Engineer to create, deliver, and support custom data products, as well as enhance/expand capabilities. They will work on analyzing and manipulating large datasets supporting revenue for the business generated from data products. The focus will be understanding available data, working with business partners to collect requirements, ensure compliance with Data Governance and OGC use case approvals, creating data products, productionize delivery, profiling, monitoring and ongoing support. They will expand their business knowledge, cross functional collaboration, business intelligence acumen, and technical experience.
Position Description:

  • Partner with teams across OEM to use curated data to create data products that deliver value for external customers
  • Perform data discovery within Hadoop data lake and Google Cloud Platform ecosystems
  • Implement ETL processes, such as data transformation using tools including but not limited to HQL, Spark, Scala, Python
  • Ensure data quality, maintain profiles of data products, monitor system performance
  • Comply with use case approvals from data governance, legal, and privacy policies
  • Provide customer support and coordinate issue resolution with data stewards
  • Maintain engagement with analytics teams, business partners, OGC and Tech
Skills Preferred:
  • Ability to influence and collaborate to create mutually beneficial outcomes
  • Foster exceptional customer relationships and solve for win-win outcomes with internal OEM and third party customers
  • Problem formulation, solution scoping and critical thinking
  • Communicate effectively with all levels of the business, well-developed written and oral skills and working collaboratively in a team environment
  • Handle multiple project assignments with minimal direction, escalate issues as necessary
Experience Required:
  • Proficiency with Hadoop, GCP environments
  • Working knowledge of data tools such as Hive, Python, SQL, Scala, Spark
  • Experience with access, transformation and integration of data from multiple data sources
  • Knowledge of various ETL techniques and frameworks, Data stage, Informatica
  • Exposure to APIs, Cloudera, MapR
Education Required:
  • Bachelor’s Degree




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