Support the team in onboarding new data sources, integrating with Azure services, and ensuring smooth cloud deployments.

Collaborate with product, data science, and engineering teams to translate business requirements into technical solutions.

Write unit tests and contribute to CI/CD pipelines for robust, production-ready code.

Stay up to date with advances in Python, LLM, and cloud technologies.

Qualifications

Qualifications:

Bachelor's or master's in computer science, Engineering, or related quantitative discipline.

Experience

6 to 9 years of hands-on experience in data engineering or backend development with Python.

Technical Competencies

Exposure to LLM integration (prompt design, API integration, handling text data).
Strong experience in Python with focus on data analysis (Pandas) and scripting.
Hands-on experience in building REST APIs (FastAPI or Flask).
Experience in developing data pipelines, data cleaning, and transformation.
Working knowledge of Azure cloud services (Azure Functions, Blob Storage, App Service, etc.)

(Nice to have) Experience integrating MongoDB with Python for data storage, modelling, or reporting.1a:T7a4,

Company Description

IKTARA Data Sciences is a product and engineering services company dedicated to providing innovative software solutions for complex, multi-dimensional challenges. With a mission to democratize AI, the company focuses on making AI development and deployment accessible and cost-effective. IKTARA helps organizations transform their business for the AI-first era by leveraging advancements in data sciences, cloud-native technologies, and wireless communication. We are passionate about empowering businesses to achieve new possibilities through cutting-edge technology.

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