Lead Python Developer - Flask/Django

8 - 12 years

8 - 12 Lacs

Posted:2 weeks ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Lead Python Developer

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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