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Python Developer

DS STREAM·Salary not specified

Primary stack

PythonSQLGCPKubeflowCI/CDFastAPIGitHub Actions

Job description

About the Position

Join our team as a Mid-Level Python Developer specializing in large-scale data processing and TV viewership analytics on GCP.

Responsibilities

  • Developing Python-based solutions for large-scale data processing and TV viewership analytics on GCP
  • Building and maintaining scalable Machine Learning environments, including CI/CD pipelines and job orchestration using tools like Kubeflow and Github Actions
  • Creating web applications with Flask or FastAPI that help Data Science teams automate and run complex analyses more efficiently

Requirements

  • Good programming skills (Python and SQL are preferred)
  • Prior experience in designing and implementing large scale systems based on Big Data technologies
  • Prior experience with FastAPI, CI/CD, Github Actions, or other related technologies
  • Experience or knowledge of cloud technologies (GCP preferred)
  • Knowledge of Open Source projects is a plus

We Offer

  • 100% remote work with the possibility to use the office in Warsaw
  • Flexible working hours
  • Company events
  • Money return for passed certifications
  • Opportunity to take advantage of Microsoft Azure and Google Cloud Platform training packages available only for partners of these providers
  • Possibility to use the in-house incubator for the development of own ventures
  • A supportive community with 50+ consultants with 10+ years’ experience in Data Warehouse and Big Data
  • And much more!

About the Company

CAREERS

Python Developer

Python Developer

Mid-Level

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DS STREAM

FMCG,Retail,E-commerce,Healthcare,Telco,Finance,Logistics

About the Company DS Stream is a fast-growing AI & Data consulting company focused on analytics and data management for global brands. The company employs a team of over 200 senior experts who specialize in Data Science, Machine Learning, and MLOps. Their mission is to transform know-how into effective architectures for their clients. Products, Services & Tech Stack Core Solutions Data Engineering: Transforming disparate data into valuable insights for informed business decisions. AI Engineering: Providing modern AI technologies and custom AI tools to support AI-driven business decisions. MLOps: Integrating ML technologies with DevOps practices to automate Machine Learning workflows and improve efficiency. Technologies & Frameworks Specific platforms, languages, or tools are not mentioned in the provided text. Project Scope & Target Clients Client Base Industries Served: FMCG, retail, e-commerce, healthcare, telco, finance, logistics, and more. Engineering Scale The company delivers tailored and complex data analytics for global corporations. Projects include real-time intelligence for the longevity ecosystem, category management for FMCG, and sales automation for resort packages.

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