DescriptionABOUT US
For internal job postings you can remove that introduction text below
At Daimler Truck we change todays 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
This team is core of Data & AI department for daimler truck helps developing world class AI platforms in various clouds(AWS Azure) to support building analytics solutions dashboards ML models and Gen AI solutions across the globe.
ResponsibilitiesWHAT YOU CAN EXPECT
Key Responsibilities:
- Design develop and maintain scalable data pipelines using Snowflake and other cloud-based tools.
- Implement data ingestion transformation and integration processes from various sources (e.g. APIs flat files databases).
- Optimize Snowflake performance through clustering partitioning and query tuning.
- Collaborate with data analysts data scientists and business stakeholders to understand data requirements.
- Ensure data quality integrity and security across all data pipelines and storage.
- Develop and maintain documentation related to data architecture processes and best practices.
- Monitor and troubleshoot data pipeline issues and ensure timely resolution.
- Working experience with tools like medallion architecture Matillion DBT models SNP Glu are highly recommended
WHAT WE OFFER YOU
Note: Fixed benefits that apply to Daimler Truck Daimler Buses and Daimler Truck Financial Services.
Among other things the following benefits await you with us:
- Attractive compensation package
- Company pension plan
- Remote working
- Flexible working models that adapt to individual life phases
- Health offers
- Individual development opportunities through our own Learning Academy as well as free access to LinkedIn Learning
- two individual benefits
QualificationsTHATS WHY YOU ARE A MATCH
Note: Please enter a maximum of five qualifications. In any case it should be ensured that more tasks are listed than qualifications!
Bachelors degree in Computer Science Information Systems or a related field.
- 23 years of experience in data engineering or a similar role.
- Strong hands-on experience with Snowflake (data modeling performance tuning SnowSQL etc.).
- Proficiency in SQL and experience with scripting languages like Python or Shell.
- Experience with ETL/ELT tools such as dbt Apache Airflow Informatica or Talend.
- Familiarity with cloud platforms (AWS Azure or GCP) and services like S3 Lambda or Data Factory.
- Understanding of data warehousing concepts and best practices.
- Candidate should have excellent communication skills willing to reskill adopt and build strong stakeholder relationship
- An active team member willing to go the miles and bring innovation at work
#MAKEYOURMOVE and apply now were 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.
ADDITIONAL INFORMATION
We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions you can contact the local disability officer once you have submitted your application form who will gladly assist you in the onward application process: If you have any questions regarding the application process please contact HR Services by e-mail: