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Job Location | Hyderabad |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | Embedded / System Software,Web / Mobile Technologies |
EmploymentType | Full-time |
Microsoft s cloud business is growing exponentially, and it is the Capacity Supply Chain and Provisioning (CSCP) team that is responsible for enabling the infrastructure underlying this growth. Key responsibilities include demand forecasting, capacity planning, supply chain management and deployment execution. To efficiently manage this scope at scale, analytics based on high quality, timely data flowing across business processes is essential. The engineering team within CSCP is undergoing a digital transformation that will enable the business to efficiently scale and is looking for passionate data engineers to solve world class problems.Within CSCP, the Usage Team is responsible for collecting telemetry across the Azure Fleet, transforming, and aggregating that data to provide a high-quality input signal for downstream systems. This is a world class big data engineering problem operating at scale. The usage system must constantly detect, analyze, and mitigate data quality issues before they impact dependent systems. The opportunity is to join this team as they build the next generation system using machine learning technologies to detect anomalies, predict missing data values, and build automation over a complex data transformation graph.We are looking for a Senior Data Engineer passionate about transforming information to intelligence, who is experienced with engineering data ingestion frameworks, data quality frameworks, and multiple projections of data - relational, dimensional and stream based using big data platforms. You should also have a working knowledge of machine learning technologies, message and event processing, proven software development skills, and experience as part of a dev ops team.If you love data and are excited about data engineering challenges, this is an opportunity to have a substantial impact in a strategically vital area of our business.
Keyskills :
storagesupply chain managementbig dataautomationenvironmentdata qualitysupply chainanalyticsmissing dataprogrammingsoftware development life cycledata modeling