Amazon Web Services
Data-driven Decision Making
At Bose, better sound is just the beginning. We’re passionate engineers, developers, researchers, retailers, marketers … and dreamers. One goal unites us — to create products and experiences our customers simply can’t get anywhere else. We are driven to help people reach their fullest human potential. Creating technology to help people to feel more, do more, and be more. We are highly motivated and curious, and we come to work every day looking to solve real problems and make the best experiences for our customers possible.
The Bose Data Engineering team is responsible for design, development and enhancement of Bose Data Platforms (Analytics & Customer Data Platforms) in leading and supporting Advanced Analytics & AI/ML workloads. This team is highly impactful and a key enabler of Bose Digital journey by playing a central role in the Data driven transformation.
What you will be working on?
As a Data Engineer focusing on Stream Processing, you will work on developing Data Platforms that turn Data into actionable insights as part of our digital journey. Enable capabilities and provide business partners with the tools to make their decision-making process more efficient and with greater speed. As part of an agile delivery team, you will design, develop, deploy and support the data ingestion pipelines and the data access solutions for our Data Platform ecosystem. This role requires knowledge and hands-on experience with large data processing and ML technologies, in a tech stack composed by the Kafka ecosystem, Spark, Snowflake and Python/Scala.
Thank you in advance for your application. After reviewing all the applications, we will only contact the candidates who fulfill the requirements for this position. So, if you don’t receive a contact in the next 15 days, we will keep your application for future opportunities that fit your profile.
To apply for this job you must be willing to work in the time zones between UTC+0 and UTC-5.