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Big Data Engineer

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Our Supply Chain Information Technology team designs, builds and runs our global end-to-end consumer supply chain for high-tech devices and software services; serving hundreds of millions of customers throughout the world. Our global team’s responsibilities encompass the full spectrum of sourcing, planning, manufacturing, product localization, distribution, and care with highest quality and standards compliance throughout. This team is chartered to Protect, Enable & Improve operational performance with the newest enterprise technologies fueling capabilities and integrating the extended supply chain.

Our global Engineering team delivers a line of business applications to support rapid growth of our business. Currently there are 100+ applications in our portfolio and these include revenue systems, forecasting and planning, returns & refurbishment, sales, business intelligence and much more based on core Microsoft platforms including Azure, SQL, BizTalk, MS Dynamics AX and more. The application portfolio is largely based on Supply chain operations reference (SCOR) model. We engineer applications from the ground up specific to the requirements of the business, and we need people who are passionate about delivering a high quality bar into production.

We are looking for an experienced software engineer with proficiency in Analytics and Business Intelligence platforms to manage development and testing of our projects. You will drive the overall engineering delivery and Quality improvements of our solutions and contribute to the Business Intelligence platform architecture and strategy.

Roles/Responsibilities:
• Design, Develop high quality code solutions with an emphasis on quality, simplicity and maintainability
• Define, design, build instrumentation and telemetry into the solutions and measure Availability and Operational Intelligence metrics
• Define and develop leading indicator monitoring solutions and establish SLA monitoring
• Provide strong and reliable technical leadership to in Big Data and Hadoop technologies
• Find and leverage existing systems to operate and maintain ETL pipelines
• Effectively collaborate across Azure teams in big-data for mining, reuse, analysis and research
• Apply data science and mining concepts to measure and understand the system impact on user experience and Quality of Service
• Research and develop solutions for providing high quality data (data completeness, data hygiene)
• Generate actionable insights from big data and aid in live site reviews and improve end user quality of service
• Bring in customer’s perspective and experiences when designing, developing and testing solutions

Basic Qualifications:
• BS in Computer Science or related field
• 8+ years of software engineering experience in software design, development, testing and implementation of high quality solutions
• Deep expertise in Database technologies (Relational and Multi-Dimensional), OLAP, SQL/MDX is a must
• Extensive knowledge and experience in data warehousing, data processing (ETL), e-metrics/measurement, business intelligence, information retrieval, parallel and distributed computation
• Strong technical expertise in SCALA, Hadoop Hive in Azure and query hive using LINQ in C#
• Great design and problem solving skills, with a strong bias for quality and engineering excellence
• Experience in analyzing very large real world datasets and hands-on approach in data analytics
• Excellent problem-solving and debugging skills with a solid understanding of testing practices

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