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Senior Business Intelligence Engineer

Company Overview

RSi is a leading provider of retail data science based analytics and a big data management platform which helps top retailers and CGP companies manage their supply chain and marketing initiatives to drive sales results.  Using machine learning, streaming analytics and predictive models, we are the go-to cloud based; peta-scale SaaS data management platform in the retail space.  Join our team as a Senior Business Intelligence Engineer and join a global innovative technology leader with a strong presence in Shanghai.  

Job Summary

Retail Solutions is seeking a full time Sr. BI Engineer to design and develop large-scale data warehouse systems based on MPP Data Warehouse such as Vertica, the cloud platform such as Azure.  This position is based in Shanghai, but he/she need to do close communication with colleagues from other countries (US, UK, India).

Responsibilities and Duties

  • Design and implement the enhancement to RSi's main stream platform and develop large-scale data warehouse systems, including data modelling, converting business requirement into ETL/Cube implementation, building analytics tools based on data warehouse, etc.
  • Participate the creation of RSi's next generation cloud based big data platform leveraging Hadoop, Spark, Kafka, Azure, etc.
  • Become an active member of an agile team of developers. Participate in daily stand-ups, design sessions, code reviews, sprint demos.
  • Follow best-practices, coding guidelines and deliver with high quality; Perform data validation, troubleshooting and performance tuning.
  • Support operation team for production live issues, provide proactive ownership and timely resolution of production issues.

Qualifications and Skills

  • Bachelor degree in computer science or relevant disciplines;
  • 4+ years’working experience on data warehouse / business intelligence / big data projects;
  • Solid on relational database (preferable MS SQL Server or Oracle);
  • Proficient with SQL programing, capable of handling comprehensive business logic with SQL;
  • Practical experience in DB performance tuning; 
  • Skilled in one of the following language: Java, Python or PowerShell;
  • Experience with Hadoop / Spark / Kafka is a major plus;
  • Experience with mainstream cloud platform (AWS, Azure) is a major plus;
  • Experience in SSAS cube and MDX query is a plus;
  • Experience working with Scrum process is a plus;
  • Passionate about programming. Clean coding habits, attention to details and focus on quality;
  • Strong business sense; Good analytical and technical skills and demonstrated problem solving skills;
  • Good written and oral communication skills in both English and Mandarin are required;
  • Experience working in a team-oriented, collaborative environment.



Retail Solutions, Inc. ("RSi") develops and delivers a comprehensive suite of award-winning software-as-a-service (SaaS) solutions that turn Retailer "downstream data", such as point-of-sale (POS), supply chain, merchandiser feedback and category data, into actionable visibility into the store and onto the shelf for their suppliers.

RSi, the largest and fastest-growing company in the Retail Execution Management field, has more experience with processing customer-specific retailer data than any other company. Retailers and consumer product goods (CPG) companies trust Retail Solutions to grow sales, reduce out-of-stocks, improve promotion execution and effectiveness, maximize retail operation productivity and foster collaborative relationships in the retail industry to improve product availability for the end-consumer.

RSi serves more than 500 CPG Companies, including 23 of the top 25 global consumer goods companies, and processes data from more than 175 leading retailers in the Americas and Europe.

Retail Solutions, Inc. is headquartered in Mountain View, CA and has offices in Providence, RI, Bentonville, AR, Minneapolis, MN, Chicago, IL, Brentford, UK, Paris, France, Munich, Germany, Pune, India, and Shanghai, China. RSi is an equal opportunity employer.

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