The only organization featured in both Gartner® DataOps Tools and Data Observability Market Guides.

Python Lead

Skills & Technologies

Python

Flask / FastAPI

PostgreSQL

REST APIs

ETL / Data Pipelines

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What You'll Bring

Strong Python programming skills with hands-on experience in frameworks such as Flask, Django, or FastAPI.
Solid understanding of object-oriented design, multithreading, and multiprocessing.
Expertise in server-side templating, RESTful API development, and microservices architecture.
Practical experience working with databases (PostgreSQL, MySQL, SQL Server) and data modeling.
Good knowledge of ETL processes, data pipelines, and integration techniques.
Familiarity with Git and CI/CD workflows.
Experience in unit testing, integration testing, and using debugging tools.
Strong analytical and problem-solving abilities, including working with large datasets.
Experience working in Agile/Scrum environments.
Excellent communication, teamwork, and leadership qualities.

What You'll Do

Experience with BI/Analytics tools such as Power BI, Tableau, or Qlik, with the ability to integrate and optimize backend services for BI dashboards. - Preferred Skills.
Hands-on exposure to cloud platforms (AWS, Azure, or GCP) for data storage, processing, and application deployment. - Preferred Skills.
Architect and develop robust Python-based backend services and APIs.
Design and maintain ETL pipelines and data integration workflows.
Collaborate with frontend, QA, and DevOps teams to deliver end-to-end solutions.
Conduct code reviews and mentor junior developers.
Contribute to architecture decisions and best practices across the engineering team.

What We Offer

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