Senior Data Engineer | PySpark/Python on AWS | Hybrid

Randstad Digital Americas

Charlotte (NC)

Hybrid

USD 83.000 - 90.000

Vollzeit

vor 9 Stunden
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Benefits dieser Stelle

Hybrid schedule (2 days/wk)
Medical, dental, vision benefits
401K plan

Zusammenfassung

Randstad Digital Americas is seeking a Senior Data Engineer in Charlotte, NC on a contract basis. The role focuses on evolving data architecture and delivering high-performance technical solutions using PySpark and Python.

Responsibilities include building features, transforming data, and collaborating with cross-functional teams. The candidate should have a Bachelor's degree and strong OO programming skills, with AWS experience preferred.

Qualifikationen

  • Bachelor's degree in a relevant field.
  • Proven experience as a Senior Data Engineer or similar role.
  • Advanced proficiency in Python, PySpark, and OO programming.
  • Strong problem-solving and troubleshooting abilities.

Aufgaben

  • Design, develop and implement new data framework features using PySpark and Python.
  • Write efficient PySpark scripts for complex data transformations.
  • Apply Python and OO concepts to build durable, enterprise-grade solutions.
  • Collaborate with cross-functional teams to translate business requirements into technical deliverables.
  • Perform rigorous testing and debugging to ensure high-quality output and performance.
  • Document programming tasks and architectural decisions for future maintenance.

Kenntnisse

PySpark
Python
OO Programming
AWS
Data Transformation
Independent Work

Ausbildung

Bachelor's degree

Jobbeschreibung

Randstad Digital Americas is seeking a Senior Data Engineer in Charlotte, NC on a contract basis. The role focuses on evolving data architecture and delivering high-performance technical solutions using PySpark and Python.

Responsibilities include building features, transforming data, and collaborating with cross-functional teams. The candidate should have a Bachelor's degree and strong OO programming skills, with AWS experience preferred.

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