Code Reviews, Communication Skills, Computer Science, Data Warehousing, Database Extract Transform and Load (ETL), Design Flows, DevOps, Documentation, Engineering, Enterprise Architecture, GitHub, IBM Cognos, Informatica, Leadership, Microsoft Windows Azure, Needs Assessment, Power BI, Production Support, Property and Casualty Insurance, Python Programming/Scripting Language, Scala Programming Language, Technical Leadership
Title : Data Engineer
Location: Short Hills - New Jersey (Hybrid at least 2 days onsite per week))
End Client : Burlington Stores
Duration : 6+ Months.
Visa : USC and Gc only
With long term projects and local or at 50 miles distance
A services organization in New Jersey is looking to fill an immediate need with the addition of a new Data Engineer to their team.
Responsibilities:
Develop and support new and existing data applications.
Partner with business users and analysts to understand data needs and recommend effective long-term solutions.
Work with application and enterprise architects to review implementation designs and data flows.
Provide technical guidance for complex data solutions, including code reviews, testing, deployment, and documentation.
Support production issues, maintain integration documentation, and contribute to broader data engineering initiatives.
Qualifications:
5-7 years of experience in Data Warehousing, Data Integration, or Data Engineering projects.
Strong data engineering fundamentals with ETL experience
Advanced data modeling experience with emphasis on dimensional modeling
Proficiency in SQL
Hands-on experience with Azure Databricks and the Azure ecosystem.
Experience using Python or Scala
Strong communication skills and the ability to work effectively across teams
Proven ability to own work independently
Desired Skills:
Experience with Power BI, Azure ML, or Synapse
Familiarity with Informatica PowerCenter, IICS, Cognos, or Netezza Performance Server
Experience with Azure DevOps or GitHub
Background in Property and Casualty Insurance
Bachelor's degree in computer science or a related engineering field
Experience leading workstreams or delivering end-to-end project implementations
S
Shiftcode Analytics, Inc