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Hiring for Senior Engineer, Business Intelligence in Hyderabad / Secunderabad, for Exp. 7 - 12 yrs a (Job in Hyderabad Secunderabad)

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Job Description:About the Role Bridge has been data-driven from its inception, using a build-measure-learn approach to all aspects of service delivery. As a scale model business, we have an unprecedented opportunity to bring statistical power to all aspects of an educational operation, from the academics team using randomised controlled trials to validate the best teaching methods to the schools team understanding which factors contribute to teacher turnover to operational teams striving to improve our service delivery efficiency. However, we have reached an inflection point where we need to take our data game to the next level. Instead of just providing data to our various departments, we need to start bringing to bear more sophisticated techniques to unlock the potential of our significant data sets. While we collect tens of thousands of data points every term from each of our academies from the time spent on each page of a lesson to the billing and payment history of every pupil we are yet to fully realise the potential energy of these data sets. Were looking to build our next generation Business Intelligence team in Hyderabad, alongside our software and product teams. The Senior Engineer, Business Intelligence forms the front end of that transformation, ensuring our data aggregation processes are robust, scalable, and ready for whatever we dream up next. What You Will Do Build data processing pipelines as part of a co-located and cross-functional software development team Deploy these data pipelines in line with continuous delivery practices and principles Improve the scalability, stability, accuracy, and efficiency of our existing data systems Monitor operations on data warehouse servers in order to identify and resolve issues and ensure continuous integration of data into warehouses Design scalable implementations of models developed by Bridge data scientists and statisticians Contribute to the effective data governance of business data, including data quality, data management, data policies, business process management, and risk management surrounding the handling of business data Communicate with business and outside actors to develop requirements


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Posted on: Thursday, 04 April, 2019  10:07
Expires On: Wednesday, 29 March, 2023  18:30

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