Data Engineering Developer

Job Description :Location : Worli, Mumbai, 5 days workingExperience : 3-4 yearsRole : Data Engineering + Backend API + Basic FrontendKey Responsibilities :- Design and maintain scalable data pipelines to ensure high-quality data availability for downstream analytics and reporting tools.- Develop and optimize RESTful APIs to facilitate seamless communication between data warehouses and front-end applications, improving system interoperability.- Build and maintain full-stack web applications that allow stakeholders to interact with complex datasets, driving data-driven decision-making across the organization.- Collaborate with engineering teams to troubleshoot performance bottlenecks in data processing, ensuring system reliability and low-latency response times.- Implement automated testing and monitoring frameworks to maintain data integrity and application stability, minimizing downtime for business-critical operations.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 dashboardsGood-to-have :- End-to-end data product development mindset- Integration experience with APIs + UI (ref:hirist.tech) Job Description :Location : Worli, Mumbai, 5 days workingExperience : 3-4 yearsRole : Data Engineering + Backend API + Basic FrontendKey Responsibilities :- Design and maintain scalable data pipelines to ensure high-quality data availability for downstream analytics and reporting tools.- Develop and optimize RESTful APIs to facilitate seamless communication between data warehouses and front-end applications, improving system interoperability.- Build and maintain full-stack web applications that allow stakeholders to interact with complex datasets, driving data-driven decision-making across the organization.- Collaborate with engineering teams to troubleshoot performance bottlenecks in data processing, ensuring system reliability and low-latency response times.- Implement automated testing and monitoring frameworks to maintain data integrity and application stability, minimizing downtime for business-critical operations.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 dashboardsGood-to-have :- End-to-end data product development mindset- Integration experience with APIs + UI (ref:hirist.tech)