Jr. Software Developer.Programming-AI.26-27

Hard n Soft Technologies Pvt. Ltd. 3 days ago Apply Now Location Mumbai Department Production - HnS Employment Type Full-time Applications Received 10 Closes On 24 Jul, 2026 Role Overview As a Data Engineer – Full Stack, you will bridge the gap between raw data pipelines and the end-user interface. You will spend your day architecting efficient ETL processes to handle large datasets while simultaneously building responsive, high-performance web applications that visualize and interact with this data. Working closely with cross-functional teams, you will ensure that our data infrastructure is not only robust and scalable but also accessible through seamless, user-centric dashboards. Your contributions will directly influence how our clients derive actionable insights from their data, making you a pivotal player in our product development lifecycle. Key Responsibilities Design and maintain scalable ETL pipelines using Python and PySpark to ensure high-quality data ingestion and transformation for downstream analytics. Develop and optimize complex SQL queries to manage large-scale databases, ensuring data integrity and performance for reporting requirements. Build and deploy secure, high-performance RESTful APIs using Flask and FastAPI to facilitate seamless communication between data services and frontend applications. Engineer intuitive and responsive user interfaces using React.js to provide stakeholders with clear, actionable data visualizations. Implement server-side logic and real-time data handling using Node.js to enhance the overall responsiveness and functionality of our platforms. Collaborate with product managers and stakeholders to translate business requirements into technical specifications, ensuring the final output aligns with organizational goals. Required Skillset Demonstrated expertise in data engineering workflows, specifically in architecting ETL processes and managing large datasets using Python and PySpark. Proficiency in database management and complex query optimization using SQL to support high-volume data operations. Proven ability to develop full-stack applications, with a strong command over backend frameworks like Flask, FastAPI, and Node.js, alongside frontend development in React.js. Strong analytical and problem-solving skills, with the ability to troubleshoot complex data bottlenecks and UI performance issues. Excellent communication skills, enabling you to articulate technical concepts to non-technical stakeholders and work effectively within a collaborative team environment. A minimum of 2 to 4 years of professional experience in a similar full-stack or data engineering capacity, with a readiness to work from Mumbai. Must-have Skills All core Data Engineering skills (PySpark, ETL, SQL) Python backend + API development (FastAPI / Flask) Frontend basics (React / Node.js) Ability to build data-driven UI dashboards Good-to-have End-to-end data product development mindset Integration experience with APIs + UI Apply Now Show more Show less