Jobs → Data & Analytics → Data Engineer

About the Role We are looking for a Data Engineer with strong hands-on experience in Databricks, PySpark, Python, and SQL. The candidate will build and maintain data pipelines and prepare data for AI and Generative AI applications. Key Responsibilities • Build and maintain data pipelines using Databricks, PySpark, Python, and SQL • Process, clean, and organize data from different sources • Work with Delta Lake and Unity Catalog to manage and organize data • Build reliable data pipelines with proper testing, monitoring, and data quality checks • Prepare data for Machine Learning and Generative AI applications, including embeddings and RAG-based solutions • Work with cloud services, especially Azure data storage and security tools • Collaborate with data, application, and AI teams • Write technical documentation and participate in code reviews Requirements • 5+ years of experience in Data Engineering • Strong practical knowledge of data engineering and data processing • Experience working with Databricks on Azure or GCP • Experience with PySpark, Python, and SQL • Knowledge of Delta Lake and Unity Catalog • Understanding of Machine Learning and Generative AI applications