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Data Engineer (Dallas, TX)
Ref No.: 18-00331
Location: Dallas, Texas
Position Type:Right to Hire
Start Date / End Date: 01/29/2018 to 04/30/2018
Paladin Consulting is currently hiring a ­­­­­­­­­­­­­­­­­­­­Data Engineer to join our team working onsite at our client's office located in Dallas, TX.

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Job Title: Data Engineer
Work Location: Dallas, TX
Duration: Long-term contract with option to hire
Education/Experience Required: Bachelor's degree

Job Description & Responsibilities:
  • Interpret and analyze data from various source systems to support data integration and data reporting needs within the client
  • Identify, 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.
Skills & Qualifications:
  • Bachelor's degree
  • 8-12+ 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
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