About this role
The team is seeking an experienced Senior Data Engineer with strong expertise in DBT, AWS, Snowflake, Amazon Redshift, and Tableau. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines, data models, and analytics solutions to support business intelligence and reporting needs.
Key Responsibilities:
- Design and implement robust data pipelines to ingest, process, and store data efficiently.
- Develop and maintain data models that support analytical and reporting requirements.
- Optimize existing data processes and pipelines for performance and scalability.
- Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
- Utilize DBT for data transformation and ensure data quality and integrity.
- Create and manage dashboards and reports using Tableau for data visualization.
- Monitor and troubleshoot data workflows to ensure reliability and efficiency.
Required Skills & Qualifications:
- 8+ years of experience in Data Engineering or a related field.
- Strong expertise in DBT, AWS, Snowflake, Amazon Redshift, and Tableau.
- Proficient in SQL and data modeling techniques.
- Experience with ETL processes and data warehousing concepts.
- Familiarity with data governance and data quality best practices.
- Strong analytical and problem-solving skills.
What we offer:
- Opportunity to work in a dynamic and innovative environment.
- Remote work flexibility.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.