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.

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