Senior Data Engineer

Job Description

Job Description for the Role of Senior Data Engineer - Azure, Databricks, and MongoDB Apply About the Role: We are looking for a highly skilled and experienced Senior Data Engineer to join our growing team. The ideal candidate will have extensive experience in building and optimizing data pipelines , working with cloud technologies such as Azure Data Factory, MongoDB, and Databricks , and designing scalable data architecture . As a Senior Data Engineer , you will be responsible for ensuring the performance, scalability, and reliability of our data infrastructure while collaborating with cross-functional teams to implement innovative data solutions . Roles and Responsibilities: Data Pipeline Development & Optimization: Design, develop, and maintain scalable and efficient data pipelines using Azure Data Factory MongoDB Databricks Other relevant tools Implement end-to-end ETL (Extract, Transform, Load) processes, ensuring data is correctly transformed, loaded and optimized for downstream analytics. Manage large datasets , working with structured, semi-structured, and unstructured data . Monitor and optimize data pipeline performance to ensure timely and accurate data delivery. Data Architecture & Cloud Solutions: Collaborate with data architects and stakeholders to build robust and flexible data models and architectures . Build and maintain cloud-based data solutions using Azure services , ensuring scalability, security, and high availability . Work closely with data teams to ensure data quality, consistency, and integrity across various systems.