Lead Python Developer - Flask/Django

Qcentrio is seeking a highly skilled and experienced Lead Python Developer to spearhead the development of high-quality, scalable, and robust Python applications. The ideal candidate will possess strong expertise in Python coding, with practical experience in frameworks like Flask or Django. This role demands a strong understanding of cloud platforms, data analysis, and advanced data solutions, working collaboratively to define, design, and ship cutting-edge features that ensure exceptional application performance and quality.

Key Responsibilities

• Technical Leadership: Lead the development of high-quality, scalable, and robust Python applications, serving as a key technical authority for the team.
• Cross-Functional Collaboration: Collaborate effectively with cross-functional teams to define, design, and ship new features, ensuring seamless integration and delivery.
• Performance & Quality Assurance: Ensure the performance, quality, and responsiveness of applications, adhering to high standards of code excellence.
• Web Application Development: Develop RESTful applications using leading Python frameworks such as Flask, Django, or FastAPI.
• Data Solutions & Analytics: Utilize Databricks, PySpark SQL, and strong data analysis skills to design and implement robust data solutions.
• Cloud Data Management: Implement and manage modern data solutions leveraging Azure Data Factory, Data Lake, and Data Bricks.

Mandatory Skills

• Strong Python coding and development expertise.
• Proven experience with cloud platforms (e.g., AWS, Azure, GCP), demonstrating a multi-cloud understanding.
• Strong proficiency in Python, PySpark, R, and familiarity with additional programming languages such as C++, Rust, or Java.
• Expertise in designing ETL architectures for both batch and streaming processes.
• Deep knowledge of database technologies (OLTP/OLAP) and SQL.
• Experience with Apache Spark.
• Knowledge of data governance and GxP data contexts; familiarity with the Pharma value chain is a plus.

Good to Have Skills

• Experience with modern data solutions via Azure (beyond basic knowledge).
• Knowledge of principles summarized in the Microsoft Cloud Adoption Framework.
• Additional expertise in SQL and data analysis.

Educational Qualifications

• Bachelor's/Master's degree or equivalent with a focus on software engineering.