Sr Azure Data Engineer

Design and develop business-critical backend systems using stream processors and high-quality data pipelines.

• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure big data technologies.
• Build a cloud-native, real-time stream processing data lake platform that scales into the Zettabytes and beyond.
• Build a data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Ability to automate data pipelines using DevOps tools.
• Perform root cause analysis on external and internal processes and data to identify opportunities for improvement.
• Build processes that support data transformation, workload management, data structures, dependency, and metadata...