Backend Developer

21 hours ago

Bengaluru, Karnataka, India Vintronics Consulting Full time ₹ 12,00,000 - ₹ 36,00,000 per year

What Youll Do :

As an Python Backend Developer (Data Pipelines/ETL) , youll be part of a high-impact, fast-moving team working directly with the founding team. This role goes beyond pure data engineering it's about building backend systems where data is the core product.

Build New Products & Features :

- Work closely with founders to develop data-first features that drive business intelligence and automation.

- Design scalable backend services that extract, clean, and structure real-world data for use in AI, analytics, and customer-facing features.

System Reliability & Performance :

- Ensure high availability, scalability, and performance of backend services used by thousands of users.

- Evolve system architecture to handle larger datasets and faster pipelines while maintaining long-term maintainability.

Backend & Data Engineering :

- Build and maintain Python-based backend systems optimized for speed and extensibility.

- Develop ETL pipelines and process large volumes of web and API data (real-time and batch).

- Manage and optimize PostgreSQL databases (schema design, indexing, performance tuning).

- Implement web scraping and reverse engineering techniques using tools like Selenium.

- Prepare structured datasets to support AI workflows (internal and third-party tools).

- Configure and deploy services on Linux-based cloud servers using tools like Nginx, uWSGI, and monitoring tools.

What Were Looking For :

- 2 to 6 years of backend software development experience, preferably in data-intensive environments.

- Proficient in Python, especially with ETL and data pipelines.

- Experience with PostgreSQL or similar RDBMS schema design, large dataset optimization.

- Strong understanding of web scraping, external APIs, and real-world data ingestion.

- Exposure to AI/ML workflows (e.g., data preprocessing, model APIs).

- Bonus : Experience with Python-based web frameworks and cloud deployment environments.

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