Job Title: Data Transformation Engineer
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Requirements
Hands-on experience with:
dbt for data modeling and transformation.
Snowflake or similar cloud data warehouse platforms.
Airflow for workflow orchestration.
Bitbucket/GitHub for source control.
Strong SQL skills for complex queries and performance tuning.
Solid understanding of data modeling principles and best practices.
Responsibilities
Design, develop, and maintain scalable data transformation workflows using dbt.
Navigate Snowflake to ensure accuracy, performance, and compliance.
Orchestrate data pipelines and scheduling using Airflow.
Implement version control and collaborative development practices with Bitbucket.
Write and optimise SQL queries for data extraction, transformation, and loading.
Collaborate with data engineers and analysts to deliver high-quality data solutions.
Monitor and troubleshoot data workflows to ensure reliability and efficiency.
Nice-to-Haves
Experience with Data Vault modeling for enterprise data architecture.
Familiarity with AWS or other cloud platforms.
Proficiency in Python for scripting and automation.
Knowledge of CI/CD practices for data workflows. xohynlm
Exposure to data governance tools and practices.