lavori da Worker in località Canada

Worker Sub-Type:

Regular

Job Description:

The BlackBerry Radar team are hiring!

The BlackBerry IoT Business Unit combines BlackBerry’s core IoT assets across the company. One of the groups within the IoT Business Unit is BlackBerry Radar, which is an innovative service for managing and optimizing fleet operations for businesses in the transportation sector. Solving our customers' most common transportation and logistics challenges, BlackBerry Radar can be used for tracking trailers, intermodal containers & chassis, equipment, railcars, and more.

All BlackBerry Radar tracking data is secured with BlackBerry encryption and authentication services; the devices are powered by BlackBerry QNX, our OS for embedded systems. BlackBerry Radar devices are rugged and low maintenance, equipped with batteries that can last as much as five years.

The BlackBerry Radar Cloud Services Development team is focused on developing asset tracking software services that will be used by businesses that rent or own railcar, chassis, trailers, and/or cargo-carrying containers. The service allows customers to manage their Radar equipped fleet by providing location tracking, a host of rich sensor readings, alerts on meaningful events, analytics on their behavioral data, integration into other back-office systems such as transportation management systems, and much more.

Are you the person we are looking for?

We are looking for a Senior Data Developer to join our BlackBerry Radar Cloud Services team. In this new role, you will design and develop technology to help the transportation industry move into the Internet age by connecting their assets to the Cloud. You will be joining a growing business with the opportunity to make a large impact on helping the transportation sector manage and optimize their fleet operations by utilizing your data-driven solutions. This role has lots of visibility and accountability, providing the chance for you to make the role your own and have a significant impact.

In return for your skills, expertise, and enthusiasm, we will provide you with an attractive compensation & comprehensive benefits package. You will also have the opportunity to thrive in a dynamic global environment, working alongside outstanding, collaborative colleagues, delivering a ground-breaking service.

What you will do

• Develop and maintain high performance, scalable data pipelines to seamlessly transport data between systems
• Design and implement Extract, Transform, Load (ETL) solutions to prepare data for analysis
• Work with cloud-based object storage solutions for data storage and retrieval
• Utilize Apache Iceberg for data modeling, table management, and query optimization
• Contribute to software development efforts, including writing and maintaining code
• Conduct data quality checks and implement measures to ensure data accuracy and integrity
• Utilize services and tools to automate data pipelines to optimize data retrieval
• Collaborate with internal and external stakeholders to support data analysis, data mapping, and reporting needs
• Document data engineering processes and create data flow diagrams
• Provide technical expertise and support for data-related issues, including troubleshooting and resolving data pipeline failures

What we need you to bring

• Experience in the implementation of extract, transform & load (ETL) tooling using Apache Spark or Apache Flink
• Proven experience with cloud-based object storage solutions for data storage and retrieval
• Experience with Apache Iceberg
• Proven experience creating and maintaining data pipelines
• Data engineering experience working with data lakes, data warehouses, and big data
• Database experience with MySQL, OpenSearch, and analytical databases such as Apache Druid, StarRocks, Apache Pinot
• Experience with Business Intelligence platforms, e.g. PowerBI, Tableau, Looker
• Proven software development experience using Java and/or Python
• Excellent communication and interpersonal skills
• High degree of motivation, sense of urgency, and ability to work both independently and in a team environment
• Engineering/Computer Science degree or equivalent experience

If you are open to a new challenge and a role where you can make an impact, we would love to hear from you!

#LI-KH1

Scheduled Weekly Hours:

40