DTICI_DnA_DataProductEngineer_T9

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office
Junior
Automotive
The Role
Design, build, and operate scalable data products and pipelines using Azure Databricks and Snowflake. Collaborate with data scientists and analysts to model, transform, and standardize data, ensure data accessibility and quality, and monitor and optimize pipeline performance.
Summary Generated by Built In

At Daimler Truck, we change today’s transportation and create real impact together. We take responsibility around the globe and work together on making our vision become reality: Leading Sustainable Transportation. As one global team, we drive our progress and success together – everyone at Daimler Truck makes the difference. Together, we want to achieve a sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and attractive financial solutions. All essential, to fulfill our purpose - for all who keep the world moving.

Become part of our global team: You make the difference - YOUMAKEUS

We are seeking a skilled Data Product Engineer to define, design, build, and operate scalable Data Products . You will play a crucial role to unlock value in our data ecosystem by working in cross functional teams leveraging cloud data analytics technologies to enable data accessibility, quality, and insights across the organization. 

Responsibilities

Key Responsibilities:

Collaboration: Work closely with data scientists, analysts, and other stakeholders to define data-driven projects and provide access to reliable, well-structured data.

Data Modelling: Develop and manage data models within Databricks/Snowflake, ensuring efficient, secure data organization and accessibility.

Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform and load data from multiple sources, using Azure Databricks/Snowflake.

Data Transformation: Implement transformations, standardizing data for analysis and reporting.

Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed. 

Qualifications

THAT’S WHY YOU ARE A MATCH

Bachelor/Master

1 to 4 Years of Experience in Data Engineering

Knowledge of Data Management & Automotive

Language skills: English fluent

Teamwork, motivation, communication skills

You don’t bring everything with you? No problem! We look for skills but hire for attitude!


#MAKEYOURMOVE and apply now – we‘re looking forward to it!

At Daimler Truck, we promote diversity and stand for an inclusive corporate culture. We value the individual strengths of our employees, because these lead to the best team performance and thus to the success of our company. Inclusion and equal opportunities are important to us. We welcome applications from people of all cultures and genders, parents, people with disabilities and people of any community.
 

Skills Required

  • Bachelor or Master degree
  • 1 to 4 years of experience in Data Engineering
  • Experience with Databricks and Snowflake
  • Knowledge of Data Management and Automotive domain
  • Fluent English language skills
  • Teamwork, motivation, and communication skills
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The Company
HQ: Portland, OR
4,900 Employees

What We Do

Daimler Trucks North America, LLC headquartered in Portland, Oregon, is the leading heavy-duty truck manufacturer in North America. Daimler Trucks North America produces and markets commercial vehicles under the Freightliner, Western Star and Thomas Built Buses nameplates. Daimler Trucks North America is a Daimler company, the world's leading commercial vehicle manufacturer.

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