DTICI_Snowflake_Data_engineer_T8

Daimler Truck; Bengaluru; Presencial; INR 1 000 000 - 1 500 000; Tempo integral

Resumo da oferta

A leading global transportation company is seeking a Data Engineer in Bengaluru, India. This role involves designing and maintaining scalable data pipelines using Snowflake and other cloud-based tools. The ideal candidate will collaborate with data analysts and business stakeholders to ensure data integrity and optimize performance through effective data management practices. Join a dynamic team dedicated to developing world-class AI and analytics solutions.

Qualificações

• Experience with designing and maintaining scalable data pipelines using Snowflake.
• Strong understanding of data ingestion and transformation processes.
• Ability to collaborate with cross-functional teams.

Responsabilidades

• Design, develop, and maintain scalable data pipelines.
• Implement data ingestion, transformation, and integration processes.
• Optimize Snowflake performance for data operations.

Conhecimentos

Snowflake

Cloud-based tools

Data pipeline design

Data transformation

Ferramentas

AWS

Azure

Descrição da oferta de emprego

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

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,