Data Engineer

Overview

On Site
$Depends on Experience
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 24

Skills

Business Intelligence
Finance
SCD
Smart Order Routing
Onboarding
PySpark
Data Processing
Extract
Transform
Load
Informatica
PL/SQL
Teradata
Unix
Screenwriting
Job Scheduling
Data Analysis
Data Warehouse
Snow Flake Schema
Slowly Changing Dimensions
Cloud Computing
Microsoft Azure
Google Cloud Platform
Google Cloud
Amazon S3
SQL
Data Extraction
Version Control
Git
Continuous Integration
Continuous Delivery
Conflict Resolution
Problem Solving
Communication
Agile
Scrum

Job Details

Job Title Data Engineer
Location Charlotte, NC (Hybrid Role)
Duration 24+ Month Contract

Ideal candidate will have the following:

  • PySpark, ETL, Financial experience (Enterprise environment) and profitability experience - FR
  • Data Engineer with strong expertise in PySpark, ETL development, and Data Warehousing/Business Intelligence (DW/BI) projects. Resource will be responsible for end-to-end development covering Financial Attribution, SCD, Booking and Referring Agreements, Data Aggregations, and SOR Onboarding

Required Skills & Qualifications:

  • Strong hands-on experience with PySpark for data processing and transformation.
  • Proficiency in ETL tools Informatica, Oracle PL/SQL, Teradata
  • Experience in enterprise frameworks, UNIX script writing
  • Experience in job scheduling, batch process, data analysis, defect resolution
  • Solid understanding of Data Warehousing concepts (e.g., star/snowflake schema, slowly changing dimensions).
  • Experience with cloud platforms (Azure, or Google Cloud Platform) and services like S3
  • Strong SQL skills for data extraction, transformation, and analysis.
  • Experience with version control systems (e.g., Git) and CI/CD pipelines.
  • Excellent problem-solving and communication skills.
  • Agile/Scrum knowledge is a plus
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