
Senior Data Transformation Specialist
2 weeks ago
We are seeking a highly skilled Data Engineer with strong hands-on experience in data warehousing and ETL design to join our team.
Key Responsibilities:
- Design, develop, and optimize data pipelines using dbt and Snowflake.
- Build efficient, reliable, and scalable data transformation models with dbt Core or dbt Cloud.
- Implement data management features such as data streaming, data loading, and dynamic tables.
- Work closely with cross-functional teams to understand data requirements.
- Ensure data quality and perform rigorous data testing and validation using dbt tests.
- Maintain and enhance the data warehouse architecture to support business intelligence and reporting needs.
- Monitor data pipeline performance and troubleshoot issues proactively.
- Apply version control practices (Git) and CI/CD for data workflows.
Requirements:
- 5+ years of experience in Data Engineering.
- Strong hands-on experience with Snowflake – including data modeling, performance tuning, and administration.
- Advanced proficiency in dbt (Core or Cloud) for data transformations and testing.
- Proficient in SQL (complex queries, CTEs, window functions, optimization).
- Experience with ETL/ELT design patterns and tools like Airflow, Fivetran, or Informatica.
- Solid understanding of data warehousing concepts, dimensional modeling, and data governance.
- Experience with Cloud Platforms such as AWS, Azure, or GCP is a plus.
- Familiarity with Git/GitHub and version-controlled deployment pipelines.
- Excellent communication skills and ability to work in cross-functional teams.
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