Python Developer – Data Engineering & Analysis

About the role

We are seeking a Python Developer with strong data‑handling expertise to design, build and maintain scalable data solutions. The role involves working with large datasets, creating efficient pipelines, and collaborating with analysts and engineers to deliver high‑quality data products.

Key responsibilities

• Develop, test and maintain Python applications that process and analyse large volumes of data.
• Design, build and optimise data pipelines and ETL workflows.
• Perform data cleaning, validation and preprocessing to ensure data quality.
• Integrate REST APIs and third‑party services using frameworks such as Flask or Django.
• Collaborate with cross‑functional teams to translate business requirements into technical solutions.
• Troubleshoot and debug data‑related issues, ensuring robust performance.

Required profile

• Strong proficiency in Python programming.
• Hands‑on experience with data manipulation libraries (Pandas, NumPy).
• Solid understanding of SQL and relational databases.
• Experience building data pipelines or ETL processes.
• Familiarity with REST APIs and backend frameworks (Flask/Django a plus).
• Good grasp of data structures, algorithms and version control (Git).

Required skills

• Python
• Pandas
• NumPy
• SQL
• Flask or Django
• REST APIs
• Git
• Data visualization (Matplotlib, Seaborn)
• Big data tools (Spark, Hadoop) – optional
• Cloud platforms (AWS, Azure, GCP) – optional
• Machine learning libraries (Scikit‑learn, TensorFlow) – optional