Our client, a major global IT consulting and AI company is seeking skilled Data Engineers with strong expertise in Data Vault 2.0 architecture and hands-on experience with the Snowflake data platform. The ideal candidate will play a key role in designing, building, and maintaining scalable data solutions, ensuring data consistency, performance, and governance across the organization. This role requires someone who can work independently and collaborate effectively with cross-functional teams.

Role & responsibilities

Design and implement Data Vault 2.0 based data models and architectures.
Develop, optimize, and maintain data pipelines on the Snowflake platform.
Configure and manage data workflows using Coalesce or similar Snowflake-native tools.
Ensure data quality, lineage, and governance across data systems.
Collaborate with data analysts, architects, and business teams to deliver reliable and scalable data solutions.
Troubleshoot performance bottlenecks and implement best practices for data loading and transformation.

Preferred candidate profile

4+ years of experience as a Data Engineer or in a related data role.
Proven expertise in Data Vault 2.0 architecture (mandatory).
Strong hands-on experience with Snowflake (mandatory).
Experience with Coalesce or similar ETL/ELT configuration tools preferred.
Proficient in SQL, data modeling, and performance tuning.
Knowledge of ETL frameworks, data warehousing principles, and cloud data ecosystems.
Ability to work autonomously and take end-to-end ownership of deliverables.

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Data Engineer