#5087 ETL Data Engineer in Dallas, TX at MDI Group

Date Posted: 9/5/2018

Job Snapshot

  • Employee Type:
    Contractor
  • Location:
    Dallas, TX
  • Job Type:
  • Experience:
    At least 8 year(s)
  • Date Posted:
    9/5/2018

Job Description


ETL Data Engineer
Contract 
Dallas, TX

What You Will Be Doing: 

  • Interpret and analyze data from various source systems to support data integration and data reporting needs, analyze, and interpret trends or patterns in complex data sets 
  • Work with team leads to prioritize business and information needs 
  • Prepare high-level ETL mapping specifications
  • Develop complex code data scripts (Primarily SQL) for ETL 
  • Data Quality Control, Metrics 
  • Troubleshoot & determine best resolution for data issues and anomalies 
  • Manage exploratory data analysis to support database and dashboard development, as well as advanced analytics efforts 
  • May assist in development of software technical documentation

Must Haves: 

  • Bachelor's degree 
  • 8+years of experience 
  • Advanced SQL skills - Adept at queries, report writing and presenting findings 
  • Expertise in Data Analysis, Data Profiling, and SQL Tuning 
  • Expertise in translating business requirements to project design, development, and execution 
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy 
  • Ability to clearly communicate capabilities, opportunities, and recommendations to both technical and nontechnical audiences 
  • Experience working in Data warehouse ETL & BI platforms and have a good understanding of related development activities and challenges 
  • Strong knowledge of and experience with reporting, databases (SQL etc), programming (ETL frameworks) 
  • Experience in understanding the source data from various platforms and mapping them into Entity Relationship model(ER) for data integration and reporting
  • Has deep understanding of data architecture & data modeling best practices and guidelines for different data and analytic platforms

A GREAT PLACE FOR GREAT PEOPLE TO WORK

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