Data Engineering

6 days ago


Philadelphia, United States Sagax Team Full time

Data Engineering & Integration Consultant


We are currently seeking a Data Engineering & Integration Consultant for a client in the Philadelphia Area.

  • Duration: 2-3 months initial term
  • Location: Hybrid (2 days in Philadelphia is a MUST). Long-distance expense reimbursement not offered.
  • Start Date: Immediate
  • Possibility of extension based on project performance and client needs


What You'll Do

  • Design, implement, and optimize ETL processes and data integration solutions
  • Lead the implementation of data analytics and visualization services using tools like PowerBI, Spotfire, and SAS
  • Collaborate with IT and business functions to develop and maintain data-driven solutions
  • Work hands-on with data integration tools and middleware platforms (AWS, MuleSoft, Dell Boomi)
  • Oversee managed service provider activities and vendor relationships
  • Ensure adherence to data architecture policies, master data management practices, and corporate data standards
  • Build and maintain technical documentation for data layer implementations
  • Partner with data stewards to resolve data quality issues
  • Implement new systems following established data management practices

What You'll Need

  • Bachelor's degree in Computer Science, Information Systems, or related field
  • 12+ years of progressive experience in technical data-oriented roles
  • Strong expertise in data integration tools and ETL processes
  • Hands-on experience with Microsoft PowerBI, PowerApps, and data visualization tools
  • Proven experience with cloud computing (SaaS/IaaS/PaaS) technologies
  • Knowledge of data warehouse and data lake technologies
  • Experience with master data management and data modeling
  • Understanding of API development and middleware platforms
  • Exposure to statistical modeling and business process modeling

Technical Skills

  • ETL tools and middleware platforms (AWS/MuleSoft/Dell Boomi)
  • Data visualization tools (PowerBI, Spotfire, SAP BO)
  • Cloud computing platforms and architecture
  • Data warehousing and data lake technologies
  • API development
  • Master data management tools
  • Business intelligence platforms



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