Snowflake Data Engineer t9

1 week ago

Bengaluru Karnataka, India Daimler Truck AG Full time

Tasks
- 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 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
- 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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