Data Transformation Specialist

5 days ago


Quezon City, National Capital Region, Philippines CI&T Software S.A. Full time

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 6,500 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our years of history.

About Us:

  • We partner with the world's most valuable brands to build digital solutions that transform businesses.
  • We have a proven track record of accelerating business impact through comprehensive and scalable digital solutions.

Duties and Responsibilities:

  • Update APIs and Python libraries as needed.
  • Drive and develop QA enhancements.
  • Handle maintenance work in updating APIs and in-house Python libraries.
  • Help develop data pipelines.
  • Automate jobs that identify data completeness and pull ahead potential issues in production.
  • Update microservices with development logging libraries.
  • Real-time database data pipelines (saving states as well as identifying any gaps that may impact production).
  • Postman collection to pull ahead issue.

Requirements & Qualifications:

  • Strong experience in Python, including building and maintaining APIs.
  • Familiarity with API libraries such as FastAPI and Pydantic.
  • Expertise in software engineering with a focus on microservices architecture.
  • Proficiency in QA automation, with a solid understanding of automation frameworks and testing strategies.
  • Experience with Docker for containerization of applications and services.
  • Solid knowledge of SQL for database interactions and management.
  • Familiarity with handling and troubleshooting production environments.

Our Expectations:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Solid experience in data development or a related role.
  • Excellent English communication skills (reading, writing, and speaking).
  • Shift Schedule: Day Shift (5:00 AM to 2:00 PM PHT), 9 hours per day, 5 days per week.
  • Work Arrangement: Hybrid (3 days in the office, 2 days working from home, according to the actual requirements of the work).


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