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Job Location | Pune |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Retail |
Functional Area | General / Other Software |
EmploymentType | Full-time |
Company Overview RSi is a leading provider of retail data science based analytics and a big data management platform which helps top retailers and CPG 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 Lead Production Operations Engineer and join a global innovative technology leader with a strong presence in Pune , India.Job Summary Retail Solutions is seeking a full time Sr. BI Engineer to design and develop large - scale data warehousesystems and build analytic tools based on MPP Database(Vertica) , as well as the Azure cloud and Bigdataplatform (Hadoop , Spark , Hive etc.). This position is based in Pune , but he / she need to do closecommunication with colleagues from other countries (US , UK , China).Responsibilities and Duties Design and implement DW and applications , these relate to ETL , data modeling , design SSAS Cube (MOLAP , ROLAP , Tabular) , building analytics tools(RI , RV , Tableau , Power BI etc.) based on data warehouseFollow best - practice , coding guidelines and work independentlyPerform data validation , troubleshooting and performance tuningWork in an Agile Scrum team to ensure fast and good quality deliverablesSupport operation team for production live issues , provide proactive ownership and timely resolution of production issuesQualifications and Skills Bachelor degree in computer science or relevant disciplines , minimum 5 years related working experienceProven experience in data warehouse and good knowledge of relational database , like MSSQL , OracleExcellent skills in programming PythonExperience in Microsoft Power BI is preferredExperience in SSAS cube (MOLAP , ROLAP , Tabular Model) and MDX / DAX query is a preferredExperience with Cloud Computing , MPP data warehouse preferred: Vertica , Redshift , Snowflake etc.Experience in Hadoop , Spark related project is preferredExperience in any of the following technologies is a plus: Cloud (Azure , AWS etc.) , Microservice , Message Queue , ContainersStrong analytical and technical skills and demonstrated ability to creatively solve complex problemsGood oral and written communication skills in English are requiredTeam player with experience in collaborating cross - team and cross - location to ensure project delivery , customer focusedABOUT RETAIL SOLUTIONS , INC.: 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 , Munich , Germany , Pune , India , and Shanghai , China. RSi is an equal opportunity employer.,
Keyskills :
oracle business intelligencebig data power bisupply chain data sciencedata modeling message queueconsumer goods