Skills
Data Engineering
ETL/ELT
Data Pipelines
About the Role
We’re looking for a highly skilled, analytical Data Engineer to design, build, and maintain our data infrastructure. In this role, you’ll own the ETL/ELT pipelines and data workflows that enable efficient storage, processing, and analytics for large volumes of information.
You’ll collaborate closely with data scientists, analysts, developers, and other teams to ensure data is reliable, accessible, and scalable for decision-making.
Responsibilities
- Design and maintain data infrastructure, pipelines, and data workflows
- Develop and optimize ETL/ELT processes for large-scale data ingestion and transformation
- Build and manage data pipelines that support storage, processing, and analytics
- Partner with cross-functional teams to ensure data quality, reliability, and usability
- Automate and improve data engineering processes to increase efficiency and performance
Requirements
- Strong technical foundation in data engineering and pipeline development
- Proven analytical mindset with the ability to optimize data processes
- Experience working with data teams to deliver scalable, accessible data solutions
- Comfort working in a dynamic, collaborative environment
Benefits
- Opportunity to work on impactful data infrastructure and large-scale pipelines
- Collaborative environment with cross-functional partners
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