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Urgent! Technoidentity - Senior Python Developer - Numpy/Pandas Job Opening In Hyderabad – Now Hiring VENDEEP TECHNOIDENTITY SOLUTIONS PVT LTD

Technoidentity Senior Python Developer Numpy/Pandas



Job description

<p><p><b>What Will You Be Doing ?</b><br/><br/></p><p><br/>Backend Development, Data Engineering & Big Data Analytics<br/><br/></p><p><br/>- Analyze, design, and write efficient Python code focusing on logic, structure, and readability.<br/><br/>- Build robust, scalable backend services and APIs using FastAPI and modern Python practices.<br/><br/>- Perform complex data transformations using Pandas and NumPy on large datasets.<br/><br/>- Work with large-scale data processing workflows, integrating big data analytics into services.<br/><br/>- Collaborate with data science teams to support predictive modeling and analytics solutions.<br/><br/>Database & Performance Optimization :</p><p><br/><br/>- Design performant queries, functions, and stored procedures in PostgreSQL/AlloyDB (PL/pgSQL).<br/><br/>- Benchmark and tune performance across backend code, data pipelines, and database operations.<br/><br/>- Implement suitable data structures (ring buffers, stacks, queues, etc.) based on performance needs.<br/><br/>Parallelism & Communication :</p><p><br/><br/>- Use threading and multiprocessing for high-performance, parallel task execution.<br/><br/>- Work with message queues (Kafka, RabbitMQ) and Pub/Sub systems for asynchronous processing.<br/><br/>- Engage in technical discussions with clients on tech stacks, system architecture, and data infrastructure.<br/><br/>- Coordinate with both onsite and offshore teams (India and USA) for effective delivery.<br/><br/>Engineering Excellence :</p><p><br/><br/>- Use Git for version control and ensure adherence to SDLC and Agile development methodologies.<br/><br/>- Participate in code reviews, architectural discussions, and continuous integration workflows.<br/><br/><b>Whats in it for You ?</b><br/><br/></p><p><br/>- Modern Python Stack: Work with cutting-edge tools including Python 3.x, FastAPI, Pandas, NumPy, SQLAlchemy, PostgreSQL/AlloyDB, and PL/pgSQL.<br/><br/>- Scalable Projects: Design and optimize real-time, data-intensive systems, distributed architectures, and big data environments.<br/><br/>- Big Data & Data Science: Work with large-scale data platforms and contribute to analytics and data science-driven product initiatives.<br/><br/>- Engineering Best Practices: Adhere to standards like Clean Code, TDD (Test-Driven Development), modular design, code reviews, and SDLC-aligned development.<br/><br/>- Team Collaboration: Participate in design reviews, performance tuning, and collaborative sprints across functions.<br/><br/>- Continuous Growth: Exposure to message queues, parallel processing, cloud services, and emerging Python tooling.<br/><br/>- Well-being & Perks: Competitive health benefits, growth-driven roles, and performance-based recognition<br/></p><br/></p> (ref:hirist.tech)


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