Skills
ETL/ELT
Data Pipelines
Data Infrastructure
About the Role
We’re looking for a skilled, analytical Data Engineer to help build and maintain our data infrastructure. In this role, you’ll design, develop, and support ETL/ELT pipelines and data workflows that enable efficient storage, processing, and analysis of large volumes of information.
Responsibilities
- Design and maintain data infrastructure and data pipelines for scalable analytics
- Develop and optimize ETL/ELT processes to move and transform data reliably
- Build data workflows that support storage, processing, and downstream consumption
- Collaborate with data scientists, analysts, developers, and cross-functional teams to ensure data is accessible and trustworthy
- Monitor pipeline performance and improve reliability, efficiency, and automation
Requirements
- Strong background in data engineering concepts and pipeline development
- Analytical mindset and ability to troubleshoot data and workflow issues
- Experience working with large datasets and scalable data processing approaches
- Ability to collaborate effectively in a fast-paced, team-oriented environment
Benefits
- Opportunity to work on impactful data infrastructure and automation
- Collaborative environment with data and engineering stakeholders
- Role focused on reliability, scalability, and continuous improvement
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