Snowflake data engineer t8

4 days ago

Bengaluru Karnataka, India Daimler Truck AG Full time

Tasks
- ABOUT US
- For internal job postings, you can remove that introduction text below_
- 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 - YOU_MAKE_US
This platform 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.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
- Data Modelling experience and exposure to Medallion architecture
- WHAT WE OFFER YOU
- 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_

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