Amazon Web Services Canada, In Looking for Business Intelligence Engineer, AWS Talent Acquisition at Canada Full Time

Job summary
Amazon Web Services (AWS) delights millions of customers around the world, and the AWS Talent Acquisition team enables our business leaders to make informed and effective hiring decisions. As a Business Intelligence Engineer this is your opportunity to be at the intersection of data, analysis, hiring, and strategy that will make it possible for our teams to fulfill that customer promise every day.

Key job responsibilities

• Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
• Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.
• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.
• Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.

• Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience building data products incrementally and integrating and managing datasets from multiple sources
• Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, etc.
• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
• Linux/UNIX.
• Experience with AWS
• A desire to work in a collaborative, intellectually curious environment.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.