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Urgent! Lead Python Engineer - Flask/Django Job Opening In Bengaluru – Now Hiring 91HR

Lead Python Engineer Flask/Django



Job description

<p>Job Description :</p><p><br/></p><p>Key Responsibilities :</p><p><br/></p><p>- Lead the design, development, and deployment of Python-based applications and services.

</p><p><br/></p><p>- Define technical architecture, ensure code quality, performance, and scalability of applications.

</p><p><br/></p><p>- Develop RESTful APIs and microservices using frameworks like Flask, Django, or FastAPI.

</p><p><br/></p><p>- Drive adoption of best coding practices, automated testing, and CI/CD principles across the team.

</p><p><br/></p><p>- Conduct code reviews, provide technical mentorship, and foster an environment of learning and innovation.

</p><p><br/></p><p>- Work extensively with Apache Spark, PySpark, and related big data technologies for data transformation and analytics.

</p><p><br/></p><p>- Manage and maintain database systems (SQL, PostgreSQL, MongoDB, etc.) ensuring data integrity and performance.

</p><p><br/></p><p>- Implement serverless solutions, containerization (Docker, Kubernetes), and infrastructure automation where applicable.

</p><p><br/></p><p>- Ensure security, scalability, and high availability of cloud-based services.

</p><p><br/></p><p>- Work closely with Product Managers, Data Scientists, and DevOps teams to deliver end-to-end solutions.

</p><p><br/></p><p>- Translate business requirements into technical specifications and actionable tasks.

</p><p><br/></p><p>- Manage project timelines, sprint planning, and release cycles to ensure on-time delivery.

</p><p><br/></p><p>Mandatory Skills & Experience :</p><p><br/></p><p>- 4-6 years of experience in software engineering with a strong focus on Python-based solutions.

</p><p><br/></p><p>- Proven experience with Python frameworks (Flask, Django, FastAPI).

</p><p><br/></p><p>- Strong knowledge of SQL and database technologies (PostgreSQL, MySQL, MongoDB).

</p><p><br/></p><p>- Solid understanding of cloud platforms (AWS, Azure, or GCP) with hands-on deployment experience.</p><p><br/></p><p>- Familiarity with container orchestration tools (Docker, Kubernetes).

</p><p><br/></p><p>- Excellent analytical, debugging, and problem-solving abilities.

</p><p><br/></p><p>Preferred Skills :</p><p><br/></p><p>- Exposure to data science and analytics tools such as R, Pandas, NumPy, Scikit-learn.

</p><p><br/></p><p>- Experience with data lakes, warehouses, or streaming platforms (Kafka, Kinesis).</p><p><br/></p><p>- Familiarity with machine learning model integration within production-grade systems.</p> (ref:hirist.tech)


Required Skill Profession

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