Data Engineer & Full Stack Developer

Design, develop, test, and maintain batch and real-time ETL/ELT data pipelines across structured and unstructured sources.

Build and optimize data lakes, warehouses, lakehouses, and schemas to support analytics and operations.

Develop responsive full-stack web applications with modern front-end frameworks and scalable back-end services, ensuring performance and security across platforms.

Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.

Typically 2-4 years experience; 5+ years of software or data engineering experience with ownership across data and application layers.

Strong proficiency in Python, SQL, and backend languages such as Java, C#, or Node.js/TypeScript.

Experience with ETL/ELT tools (Apache Spark, Databricks, Airflow, dbt, Kafka), cloud platforms (Azure, AWS, Google Cloud), and front-end frameworks (React or Angular).

Experienced in both data engineering and full-stack development, able to independently design and deliver end-to-end solutions.

Comfortable working in an Agile environment collaborating with cross-functional teams including product owners, data scientists, and business stakeholders.

Strong understanding of secure coding practices, data privacy, and performance optimization at both application and infrastructure levels.