Junior Data Engineer

Job Detail

Design and develop data ingestion, transformation, and delivery pipelines using Python and modern ETL tools. Build backend services, APIs or UIs (if ReactJS experience is present) to support ML applications Maintain and optimize batch and real-time data pipelines for performance and scalability Support the packaging and deployment of machine learning models into production environments. Write clean, modular, testable code and participate in code reviews. Collaborate with data scientists, engineers and DevOps teams to scalable and reliable data pipeline. Support data exploration, feature engineering, and occasional model building where needed. Automate data validation, quality checks, and pipeline monitoring. Work with cloud platforms and container technologies (Docker, Kubernetes) Follow best practices for versioning, logging, and CI/CD.