Azure Data Factory Engineer

As a Azure Data Factory Engineer, you will be working on a team providing design, implementation of new cloud-based products while supporting existing products in existing DBs and working with the technical team to troubleshoot issues

• Mandatory experience of 2-4 years with Azure Data Factory. Snowflake is a secondary requirement.
• You will be responsible for: understanding and documenting the business requirements/technical specifications, performing technical development and/or configuration, designing test cases, creating test data and performing unit testing, communicating with the client, and supporting the overall delivery including status reporting, dependency management and risk/issue identification and mitigation
• Partner with the Analytics team to automate processes that improve data utilization for insights and reporting needs
• Develop and implement most levels of our data stack (ingestion layer, modeling layer, analytics, etc.)
• Debug production issues across services and multiple levels of the stack
• Design, build and improve our ETL platform and pipelines that integrate with our Data lake and Messaging platform
• Manage integrations with 3rd party Cloud solution(s), constantly improving the efficiency, cost-effectiveness and quality of the integration
• Determine additional technology requirements and data infrastructure needs to support growing business requirements
• Write, analyze and debug SQL queries that range in difficulty from simple to complex
• Ensure standards for engineering excellence, scalability, reliability, and reusability
• Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets