Senior Data Engineer - Azure Databricks

Job description

We are seeking technically strong Senior Data Engineer who can take ownership of designing and developing cutting-edge data and AI platforms using big data and cloud technologies on Microsoft Azure. You will play a critical role in building scalable data pipelines, modern data architectures, and intelligent analytics solutions. Key Responsibilities: - Design and implement scalable, metadata-driven frameworks for data ingestion, quality, and transformation across both batch and streaming datasets. - Develop and optimize end-to-end data pipelines to process structured and unstructured data, enabling the creation of analytical data products. - Build robust exception handling, logging, and monitoring mechanisms for better observability and operational support. - Take ownership of complex modules and lead the development of critical data workflows and components. - Provide guidance to data engineers and peers on best practices, conduct code reviews, and enforces standards. - Collaborate with cross-functional teams including business consultants, data architects, scientists, and application developers to deliver impactful analytics solutions. If interested, please send your resume directly to shah.nizami1@tigeranalytics.com.