Data Engineer (SQL)

• Partner with the global and in-market data experts to discover and derive business value from connecting external and internal data sources into business processes that enables better or faster decision making.
• Build (ETL) new and evolve data models and pipelines to power algorithmic based Business Intelligent solutions that addresses business problems requiring descriptive, diagnostic, predictive, and/or prescriptive analytics for pricing, promotion, trade spending, assortment, and sales performance management.
• Translates the algorithms and analytic models into data models as business needs evolves on a going basis after they are put into production.
• Develop a roadmap that scales existing and new data models, to support the portfolio of solutions.
• Expand into Business Intelligence solution development focused on automation and scale up of solutions.

• B.S. or M.S. in a relevant technical field (Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics). Overall experience of 5+ years preferred
• Ability to manipulate and analyse complex, high-volume, high-dimensionality data from varying sources (Nielsen, SAP, Retailer ePOS; both structured and non-structured data)
o Experienced knowledge working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive)
o Experienced knowledge working in Microsoft Azure and applying Cortana to develop scaled analytic models in the cloud
o Experienced knowledge with relational and columnar databases – SQL is a plus
• Understanding of Data Mining, Data Modelling, and Data Provisioning (acquisition, transformation and sharing). Demonstrated ability in solution is a plus.
• Expert knowledge of an analysis tool such as Microsoft PowerBI, and Tableau
• Proficiency in Python, and preferably in one other language like R, Scala, Java, Golang etc.
• Basic Strong track record in solving analytical problems using quantitative and statistical approaches.