Data Engineer - JB-796

Our mission is to help businesses grow by leveraging modern technology and creating a digital future for our customers. We’re looking for an highly skilled and adaptable Data Engineer to join our growing team. In this role, you will bridge the gap between data engineering and machine learning operations, ensuring that data pipelines run flawlessly, and other developers' models and code are efficiently integrated, tested, and monitored. If you have a passion for data pipelines, automated metric evaluation, and model tracking, we want to hear from you.

Key Responsibilities

• ownership of data pipelines, adapt existing scripts, and ensure smooth execution of diverse codebases.

• Set up systems to validate outputs, automatically extract key performance metrics, and guarantee data and model integrity.

• Partner with researchers and developers to productionize, test, and optimize their code and model deployments.

• Quickly master and integrate new technologies, tools, and methodologies into our current data stack.

Requirements

• Experience: Minimum of 5 years of proven experience as a Data Engineer – Must.

• Strong Python skills with deep hands-on experience using Pandas, NumPy, and SciPy – Must.

• Exceptional capability to dive into other people’s code, debug, make it runnable, and build automated verification frameworks around it.

• Bachelor’s degree (B.Sc.) in Computer Science, Data Science, Software Engineering, or a closely related technical field.

Advantages (Nice to Have)

• Significant experience with ML evaluation and experiment tracking platforms such as Weights & Biases (W&B) or MLflow.

• Familiarity with CI/CD pipelines, automated testing frameworks, and containerization (Docker).