Responsibilities
- Develop and sustain high-capacity data systems that scale efficiently to deliver timely insights across departments.
- Create reliable ETL and ELT workflows for batch and real-time data streams using current software development standards.
- Implement, oversee, and track cloud-based data platforms with a strong focus on automated and resilient operations.
- Assist data science teams by simplifying processes, automating workflows, and deploying machine learning models within AI-driven environments.
- Enhance and uphold data integrity, modeling practices, and governance policies throughout the data lakehouse ecosystem.
- Collaborate clearly with cross-functional partners to build data solutions that support analytics and product development teams.
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid or remote options available
Team
Part of a collaborative engineering team focused on data infrastructure and analytics enablement
Responsibilities
- Develop and sustain high-capacity data systems that scale efficiently to deliver timely insights across departments.
- Create reliable ETL and ELT workflows for batch and real-time data streams using current software development standards.
- Implement, oversee, and track cloud-based data platforms with a strong focus on automated and resilient operations.
- Assist data science teams by simplifying processes, automating workflows, and deploying machine learning models within AI-driven environments.
- Enhance and uphold data integrity, modeling practices, and governance policies throughout the data lakehouse ecosystem.
- Collaborate clearly with cross-functional partners to build data solutions that support analytics and product development teams.
Available for qualified candidates
