Data Engineer

milestones, resources and costs Produce data via SQL and other programming tools Develop reports and dashboards Design and develop data and information structures Capture data and modify programs to extract information from company databases Engage with data scientists and translators to understand how data should be presented Improve data availability, acting as the link between the IT and analytics team KNOWLEDGE AND SKILLS SQL knowledge Deep knowledge of machine learning, statistics and optimization Advanced knowledge of statistical techniques, data mining, machine learning (regression, decision trees, clustering, random forests, generalized linear models, etc.) Experience in database development and data model design QUALIFICATIONS AND EXPERIENCE BS/BA (preferred MS) degree preferably in computer science, statistics, mathematics or equivalent mix of education and experience 5+ years of experience in analyzing and preparing data, including considerable experience with very large data sets and unstructured data Strong experience in database development and model design Experience with R, Python, Matlab, C programming, C++, Java, Hadoop, Hive, Map reduces, Teradata, QSTK DESIRED ATTRIBUTES AND BEHAVIOURAL COMPETENCIES Strong business and collaboration skills Skills to respond to service needs and operational demands Problem solving skills Attitude to thrive in a fun, fast rhythm of getting started as an environment Able to build a sense of trust and rapport that creates a comfortable and effective workplace SPECIAL CONDITIONS Regularly work extended and irregular hours. Pressure/stress from the need to meet tight deadlines FUNCTIONAL RELATIONSHIPS External: Internal: Business leads PERFORMANCE CRITERIA Timely delivery of agreed daily, weekly and monthly KPIs