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Ottawa, Canada NAV CANADA Full timeDescription Key Accountabilities: Design, build, and optimize scalable data pipelines and architectures to support analytics, reporting, and application systems. Provide technical leadership in data engineering best practices, including data modeling, ETL/ELT processes, and pipeline automation. Develop and maintain data integration and transformation...
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Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges. We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.Bachelor’s degree in Computer Science or similar field8+ years of experience in a Data Engineer roleExperience with relational SQL and NoSQL databases like MySQL, PostgresStrong analytical skills and advanced SQL knowledgeExperience with AWS cloud services: EC2, EMR, AthenaExperience on Databricks is plusExperience with object-oriented/object function scripting languages: Python, Java, Scala, etc.Experience extracting/querying/joining large data sets at scaleA desire to work in a collaborative, intellectually curious environmentStrong communication and organizational skillsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #J-18808-Ljbffr
