Data Engineer

We are looking for a hands-on Data Engineer who blends strong data engineering foundations with modern application development skills. This role is ideal for someone who can design and build scalable data pipelines and backend services independently while working on long-term platform-level initiatives. Key Responsibilities: Design, develop, and optimize data pipelines using Spark, Pandas, and Databricks Build and deploy backend services & APIs to power data-driven applications Work with Azure cloud infrastructure to ensure scalable and secure data operations Collaborate with cross-functional teams to solve real-world business problems using data Own your solutions end-to-end—from design to deployment and monitoring Maintain code quality, performance tuning, and documentation Required Skills: Strong programming skills in Python (advanced-level preferred) Experience with Spark and Pandas for data transformation and processing Hands-on experience with Databricks and Azure (Data Factory, Blob, etc.) Solid understanding of API/Service development using Python (Flask/FastAPI preferred) Good grasp of data engineering principles, version control (Git), and CI/CD workflows Ability to work independently, think critically, and contribute to strategic initiatives Preferred Qualities: Self-starter with a learning mindset and curiosity to solve complex problems Adaptable to evolving technologies—not limited by fixed tools or tech stacks Experience in designing long-term, reusable data platform components Show more Show less