• Responsible for integrating, analyzing raw data, developing, and maintaining datasets and improving data quality and efficiency. • Develops and maintains scalable data pipelines, integration tools and builds out new API integrations to support continuing increases in data usage, volume, and complexity. • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition. • Designs data integrations, data quality framework and integrate it with monitoring services. • Strong hands on capabilities across integration toolsets including ADF, Replication, CDC etc. • Integrate data from different SOR’s, combine raw information and create resulting models ready for consumption. • Interpret trends and patterns. • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. • Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, DB, SQL, and data pipelines performance tuning, optimizing data delivery, and automating manual processes. • Build solution prototypes as needed and write algorithms against data. • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. • Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization. • Works closely with a team of frontend and backend engineers, product managers, and analysts.