About this role
The team is seeking a seasoned Data Engineer to join their Engineering organization and take ownership of the systems that power their data-driven decisions. In this role, you will architect and maintain high-performance data pipelines and databases across platforms like MSSQL, Redshift, and Snowflake, ensuring that data is reliable, accessible, and optimized for scale.
Key Responsibilities:
- Design and implement robust data pipelines to support analytics and reporting.
- Maintain and optimize existing data systems for performance and scalability.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Troubleshoot and resolve data-related issues in a timely manner.
- Ensure data quality and integrity through rigorous testing and validation processes.
Required Skills & Qualifications:
- Proficiency in data engineering tools and technologies such as MSSQL, Redshift, and Snowflake.
- Strong programming skills in languages like Python or Java.
- Experience with data modeling, ETL processes, and data warehousing.
- Familiarity with cloud platforms and services, particularly AWS.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
Experience:
- 5-8 years of relevant experience in data engineering or a related field.
What we offer:
- An opportunity to work in a collaborative and high-impact environment.
- The chance to be the go-to expert in data engineering within a dynamic team.
- Opportunities for professional growth and development.
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.