Data Engineer Co-Op

Bose Corporation, U.S.A•Framingham, MA

15h•Onsite

About The Position

The Bose Data Engineering team is responsible for the design, development, and enhancement of Bose Data Platforms (Analytics & Customer Data Platforms) in leading and supporting Advanced Analytics. This team is highly impactful and a key enabler of Bose's Digital journey by playing a central role in the data-driven transformation. As a junior Data Engineer, you will work closely with internal customers to build and design data pipelines, spanning from data acquisition, deployment, and monitoring. Being part of an agile delivery team, you will design, develop, deploy, and support data pipelines, applying best practices and implementing necessary integrations with our Data Platform ecosystem. This role requires a passion for operations, AWS Serverless solutions, Python, SQL coding & learning new technologies or programming languages. Under the supervision of a Senior Data Engineer, some of your responsibilities will include: * Continuing the full life cycle management of data pipelines: designing, developing, and providing production support for data pipelines that support customer experiences on connected devices, web applications, and mobile applications. * Staying up to date on relevant technologies, participating in user groups, understanding trends, and identifying opportunities to ensure the adoption of the best techniques and tools. For instance, we are currently utilizing Snowflake, databricks, and AWS Serverless technologies. * Collaborating with AWS Cloud Architects to optimize and evaluate scalable, serverless solutions, becoming the Subject Matter Expert (SME) for AWS solutions. * Working in multi-functional agile teams to continuously experiment, iterate, and deliver on new data product objectives.

Requirements

AWS Serverless solutions
Python
SQL coding
Learning new technologies or programming languages

Nice To Haves

Snowflake
Databricks

Responsibilities

Continuing the full life cycle management of data pipelines: designing, developing, and providing production support for data pipelines that support customer experiences on connected devices, web applications, and mobile applications.
Staying up to date on relevant technologies, participating in user groups, understanding trends, and identifying opportunities to ensure the adoption of the best techniques and tools.
Collaborating with AWS Cloud Architects to optimize and evaluate scalable, serverless solutions, becoming the Subject Matter Expert (SME) for AWS solutions.
Working in multi-functional agile teams to continuously experiment, iterate, and deliver on new data product objectives.