Data Engineer (Snowflake, DBT, SQL)

Role & responsibilities

• Strong experience in Data Vault Modeling (DV 2.0).
• Expertise in SQL and performance tuning.
• Hands-on experience with Snowflake Data Platform.
• Strong knowledge of Data Warehousing concepts and ETL/ELT processes.
• Experience in Data Modeling (Conceptual, Logical, and Physical models).
• Knowledge of building scalable data pipelines and data integration solutions.
• Experience with cloud platforms such as AWS, Azure, or GCP is an added advantage.

Understanding of Agile/Scrum methodologies

• Design and implement Data Vault architecture for enterprise data warehousing solutions.
• Develop and optimize complex SQL queries, stored procedures, and data pipelines.
• Build and maintain data ingestion, transformation, and integration processes in Snowflake.
• Create and manage data models to support reporting, analytics, and business intelligence requirements.
• Ensure data quality, integrity, security, and governance standards are maintained.
• Collaborate with business stakeholders, architects, and development teams to deliver scalable data solutions.
• Monitor and optimize data warehouse performance and storage utilization.

Preferred candidate profile

Strong experience in SQL, DBT and Snowflake