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Data Engineer

4 months ago

Chicago, United States Georgia IT Inc Full time
Job Title : Data Engineer
Location : Chicago, IL - Remote
Position Type : Contract
US Citizen, Green Card, TN, GC EAD and H4 EAD only No Third-party agencies corp to corp.
Job Description:
  • 5+ years of experience in a Data Engineer role, with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
  • Knowledge of programming languages (e.g. Java and Python)
  • dvanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Great numerical and analytical skills
  • Data engineering certification (e.g IBM Certified Data Engineer) is a plus
  • Create and maintain optimal data pipeline architecture
  • nalyze and organize raw dat
  • ssemble large, complex data sets that meet functional / non-functional business requirements.
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Create data tools for analytics and data scientist team members
  • Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
  • Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Collaborate with data scientists and architects on several projects
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management