Python Developer - (Systems Modernization)

Katmai · Remoto · Remote

Recebendo candidaturas · conferida em 14/11

Ficha da vaga

Modelo
Remoto
Onde aceita
Não informado
Senioridade
Senioridade não informada
Salário
Salário não divulgado

Fonte: Workable · Ver vaga original →

  • python
  • sql
  • git github

Organizei a descrição em seções com IA. O texto completo da vaga está logo abaixo.

Sobre a vaga

Katmai is seeking a Python Developer to lead the modernization of core data processing systems by translating legacy SAS logic into scalable Python solutions and data pipelines. The role requires experience with Python, SQL, and data processing techniques in a remote work model.

O que você vai fazer

  • Analyze existing SAS-based systems and re-implement logic in Python, ensuring functional parity while improving maintainability, scalability, and performance.
  • Design and develop end-to-end data pipelines to ingest, clean, validate, and transform diverse data formats—including SAS datasets, Parquet, JSON, and SQL—using larger-than-memory processing techniques.
  • Profile, optimize, and refactor code to eliminate bottlenecks and improve performance.
  • Develop Python solutions that interface with PostgreSQL for high-volume data storage, retrieval, and processing.
  • Implement automated testing, data validation, and quality assurance processes to ensure the integrity, accuracy, and reliability of critical data assets throughout the data lifecycle.

Descrição completa da vaga

SUMMARY Lead the modernization of core data processing systems. Responsible for translating complex legacy SAS logic into robust, high-performance Python solutions. Build and maintain scalable data pipelines that handle large-scale datasets, ensuring that our data products are accurate, well-documented, and optimized for a cloud-native environment. Work with DSD IT Specialists in an integrated team environment.

ESSENTIAL DUTIES & RESPONSIBILITIES · Analyze existing SAS-based systems and re-implement logic in Python, ensuring functional parity while improving maintainability, scalability, and performance. · Design and develop end-to-end data pipelines to ingest, clean, validate, and transform diverse data formats—including SAS datasets, Parquet, JSON, and SQL—using larger-than-memory processing techniques. · Profile, optimize, and refactor code to eliminate bottlenecks and improve performance. Implement parallel computing strategies using libraries such as Dask and multiprocessing to efficiently process production-scale workloads. · Develop Python solutions that interface with PostgreSQL for high-volume data storage, retrieval, and processing. · Implement automated testing, data validation, and quality assurance processes to ensure the integrity, accuracy, and reliability of critical data assets throughout the data lifecycle. · Maintain high standards for code quality by producing well-documented, readable, maintainable, and extensible code. Participate in peer reviews and knowledge sharing to promote engineering best practices. · Collaborate with DSD IT Specialists and other stakeholders to implement efficient, scalable Python solutions that meet functional and technical requirements. · Partner with DSD stakeholders to validate business and technical requirements, troubleshoot implementation issues, and support the successful modernization of legacy systems. · Attend branch meetings and communicate technical concepts, project updates, and recommendations clearly and effectively. · Maintain regular communication with the team as required. · Maintain regular and punctual attendance. · Perform other duties as assigned.

SUPERVISORY RESPONSIBILITIES None.

Perguntas e respostas sobre a vaga

Aceita candidatos de onde?
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É remota?
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