Python/PySpark Developer

Location: Des Moines, IA Hybrid
Duration: 6+ Months
Work Arrangement: Hybrid Local Candidates Preferred

Job Summary

STAFFXPERT LLC is seeking a Python/PySpark Developer on behalf of our client in Des Moines, IA The ideal candidate will have strong hands-on experience with Python and PySpark and will contribute to a data ingestion project involving external vendor data. This role requires a developer who can build reliable, scalable, and maintainable solutions while working collaboratively in a hybrid environment.

Key Responsibilities
  • Translate application requirements, storyboards, and use cases into functional applications.

  • Design, develop, and maintain efficient, reusable, and reliable code.

  • Build data ingestion solutions for integrating data from external vendors.

  • Develop scalable data processing solutions using Python and PySpark.

  • Ensure application performance, quality, responsiveness, and reliability.

  • Identify bottlenecks and bugs and develop effective solutions.

  • Maintain clean, organized, and reusable code.

  • Apply appropriate software design and architectural patterns.

  • Develop reusable code libraries and components.

  • Collaborate with project teams and business stakeholders to understand requirements and deliver solutions.

  • Work onsite according to the established hybrid working arrangement.

Required Qualifications
  • Strong hands-on experience with Python.

  • Strong hands-on experience with PySpark.

  • Experience developing scalable and maintainable applications.

  • Understanding of software design principles and architectural patterns.

  • Strong troubleshooting, debugging, and problem-solving skills.

  • Ability to write clean, readable, and reusable code.

  • Ability to work effectively in a hybrid environment.

Preferred Qualifications
  • Experience with Snowflake.

  • Experience with Databricks.

  • Experience with Microsoft Azure.

  • Experience with Microsoft Fabric is a plus.

  • Experience with data ingestion and external data integration projects is highly desirable.

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