Full Stack Developer

3 weeks ago

Deerfield, United States Revolution Technologies Full time

NOT OPEN TO C2C


Job Title: Full Stack Developer

Contract: 9 months

Salary Range: $45 - $50

Benefits: Health, Dental, Vision, Life, and Pet insurance


Job Summary:

Actively seeking a dynamic Full Stack Developer to bolster our talented team. In this role, you will spearhead the creation of robust pipelines and endpoints, ensuring seamless data access across the enterprise. If you're passionate about leveraging Python, SQL, Unix, Docker, and RESTful services to drive innovation, we want to hear from you.


Key Responsibilities:

  • Conceptualize and execute data pipelines utilizing Python, SQL, and Unix, guaranteeing impeccable data quality and integrity.
  • Employ Docker to containerize data pipelines, optimizing scalability and portability for enhanced efficiency.
  • Develop and uphold RESTful services, facilitating secure and streamlined data access for stakeholders.
  • Foster collaboration across multifunctional teams, integrating data analytics seamlessly into business operations based on comprehensive requirements gathering.
  • Implement stringent data privacy and security measures, ensuring adherence to protocols and controls.

Requirements:

  • Bachelor's degree in Computer Science, Data Analytics, or a related field.
  • Minimum 3 years of hands-on experience in endpoint development or data engineering.
  • Proficiency in Python, Flask, gUnicorn, SQL, and Unix, demonstrating a solid technical foundation.
  • Desirable experience with Redis, Docker, and RESTful services.
  • Familiarity with UI/UX, Javascript, Node.js, or equivalent technologies.
  • Minimum 3 years of exposure to AWS, Azure, or equivalent cloud platforms.
  • Thorough understanding of data privacy and security principles.
  • Exceptional communication skills and a collaborative mindset.
  • Ability to thrive in a dynamic, fast-paced environment, adapting to evolving priorities.
  • Strong problem-solving abilities and critical thinking skills.

Preferred Qualifications:

  • Master's degree in Computer Science, Data Analytics, or a related field, with 5 years of experience.
  • Bachelor's degree in Computer Science, Data Analytics, or a related field, with 8 years of experience.
  • Experience in machine learning and predictive modeling.
  • AWS certification.
  • Familiarity with data visualization tools such as Tableau or Power BI.
  • Certification in data analytics or related disciplines is advantageous.

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