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  • Dearborn, MI, USA
  • Contract

Position Description:

Responsible for providing the data support for enterprise data integration tasks, including ingestion, standardization, enrichment, mastering and assembly of data products for downstream applications. In addition, you will: - Drive the Data Strategy and align it with continuously changing business landscape - Work on all the data types across the enterprise including Customer, Dealer, Vehicle, Manufacturing, etc. - Continuously increase Data Coverage by working closely with the Data Scientists, understanding and evaluating their data requirements and delivering the data they need - Support the data requirements of the different functional teams like MS&S, PD, Quality, etc. and all the regional KPI / Metrics initiatives - Evaluate, explore and select the right data platform technologies including Big Data, RDBMS & NoSQL to meet the analytics requirements - Provide visibility to Data Quality issues and work with the business owners to fix the issues - Implement an Enterprise Data Governance model and actively promote the concept of data sharing, data reuse, data quality and data standards - Perform any necessary data mapping, data lineage activities and document information flows - Build the Metadata model & Business Glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems - Serve as data subject matter expert and demonstrate an understanding of key data management principles and data use - Drive Master Data Management(MDM) strategy including implementing the governance model for Master Data - Drive Data profiling and data exploration for basic understanding and profiling of the data

 

Skills Required:

Candidates should have experience with using data analysis tools such as: SAS, Hive, Apache Pig, Hadoop, SQL, QlikView, ETL tools. Post-graduate degree in Engineering / Computer Science or academic equivalent. Experience of working within a complex business environment, including at least 5 years in a single function, with deep understanding of the information constructs of that business. Demonstrated experience and expertise in conceptual thinking of how to apply information solutions to a business challenge. Experience of applying problem solving capabilities (Six Sigma, DOE, lean manufacturing etc). Proven analytics capability to robustly examine large data sets and highlight patterns, anomalies, relationships and trends. Self-starter, demonstrating high levels of data integrity. Excellent data and statistical analysis skills in Excel. Ability to manage deliverables according to a robust project plan.

 

 

Experience Required:

- Minimum of 5 years of experience in a Data Management role including running queries and compiling data for analytics - Minimum of 3 years of experience in data design, data architecture and data modeling (both transactional and analytic) - Minimum of 2 years of experience in Big Data / NoSQL technologies including Greenplum & Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), especially command line experience with loading and manipulating files within HDFS

 

Education Required:

- Bachelor's Degree in Computer Science or related field from an accredited college or university

 

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