Data Engineer

Overview

On Site
USD65 - USD68
Contract - W2

Skills

Data Engineer

Job Details

job summary:

Responsibilities:



  • Develop and maintain ETL pipelines using Python and Pyspark.
  • Utilize Dremio for data virtualization and analytics.
  • Support the modernization of financial data systems.
  • Handle data aggregation and SOR onboarding processes.
  • Implement solutions for Financial Attribution, SCD, and Booking and Referring Agreements.


Qualifications:



  • Proven experience with Python and Pyspark.
  • Hands-on experience with Dremio.
  • Strong understanding of ETL processes.
  • Experience with financial data systems is highly desirable.
  • Ability to perform end-to-end development tasks.



location: Charlotte, North Carolina

job type: Contract

salary: $65 - 68 per hour

work hours: 8am to 4pm

education: Bachelors



responsibilities:

Responsibilities:



  • Develop and maintain ETL pipelines using Python and Pyspark.
  • Utilize Dremio for data virtualization and analytics.
  • Support the modernization of financial data systems.
  • Handle data aggregation and SOR onboarding processes.
  • Implement solutions for Financial Attribution, SCD, and Booking and Referring Agreements.


Qualifications:



  • Proven experience with Python and Pyspark.
  • Hands-on experience with Dremio.
  • Strong understanding of ETL processes.
  • Experience with financial data systems is highly desirable.
  • Ability to perform end-to-end development tasks.


qualifications:


  • Responsibilities:
  • Develop and maintain ETL pipelines using Python and Pyspark.
  • Utilize Dremio for data virtualization and analytics.
  • Support the modernization of financial data systems.
  • Handle data aggregation and SOR onboarding processes.
  • Implement solutions for Financial Attribution, SCD, and Booking and Referring Agreements.
  • Qualifications:
  • Proven experience with Python and Pyspark.
  • Hands-on experience with Dremio.
  • Strong understanding of ETL processes.
  • Experience with financial data systems is highly desirable.
  • Ability to perform end-to-end development tasks.


skills:

  • Responsibilities:
  • Develop and maintain ETL pipelines using Python and Pyspark.
  • Utilize Dremio for data virtualization and analytics.
  • Support the modernization of financial data systems.
  • Handle data aggregation and SOR onboarding processes.
  • Implement solutions for Financial Attribution, SCD, and Booking and Referring Agreements.
  • Qualifications:
  • Proven experience with Python and Pyspark.
  • Hands-on experience with Dremio.
  • Strong understanding of ETL processes.
  • Experience with financial data systems is highly desirable.
  • Ability to perform end-to-end development tasks.




Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

This posting is open for thirty (30) days.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.