• We are looking for people who are motivated by thinking big, moving fast, and exploring business insights
• If you love to implement solutions to hard problems while working hard, having fun, and making history, this may be the opportunity for you
• If you are passionate about building state-of-the-art data-centric solutions that focus on simplicity, innovation, performance, consider applying for this role
• 5+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices

Desirable

• Team Engage is looking for a Sr Data Engineer (DE) with a passion for working on cutting edge technology, who obsesses over bar raising experiences for customers, and thrives on the challenge of building something new that will operate at world-wide scale to join our fast paced team
• In this role, you will be responsible for implementing modern, creative, and innovative data experiences across a breadth of customer facing web apps, our data warehouse for reporting, and integration with third party applications
• The Sr DE is passionate about and capable of developing robust, scalable data models and optimizing the consumption of data sources we require to generate unique insights about our systems
• You will share in the ownership of the technical vision and direction for advanced analytics and insight products
• You will work with top-notch technical professionals developing complex systems at scale and with a focus on sustained operational excellence
• Members of this team will be challenged to innovate using the latest big data techniques
• Our solutions leverage the latest AWS services for data streaming, transformation, storage, visualization and modeling including Amazon Generative AI based platforms and services, in addition to industry leading 3P software
• Your work will have high visibility across AWS internally, and the global AWS community of developers and users
• Managing AWS resources including Kinesis, Glue, RDS, S3, Redshift, Quicksight, etc
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
• Collaborate with Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering, machine learning, and Generative AI
• Work directly with our key customer stakeholders to help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers