Skills
ETL/ELT
Data Pipelines
Data Engineering
About the Role
We’re looking for a highly skilled Data Engineer to design, build, and maintain our data infrastructure. In this role, you’ll create and improve ETL/ELT pipelines that enable efficient storage, processing, and analysis of large volumes of data.
You’ll partner closely with data scientists, analysts, developers, and cross-functional teams to ensure data is reliable, accessible, and scalable for better decision-making.
Responsibilities
- Design and maintain data pipelines for ingestion, transformation, and delivery
- Build and optimize ETL/ELT workflows to support analytics and reporting
- Develop scalable data models and data infrastructure components
- Ensure data quality through validation, monitoring, and automated checks
- Collaborate with stakeholders to understand data needs and improve usability
- Troubleshoot pipeline issues and improve performance and reliability
Requirements
- Strong experience in data engineering and pipeline development (ETL/ELT)
- Solid technical skills in data modeling, data processing, and automation
- Analytical mindset with the ability to optimize data workflows
- Experience working with multiple teams in a fast-moving, collaborative environment
- Passion for building dependable, scalable data systems
Benefits
- Opportunity to work with modern data practices and large-scale datasets
- Collaborative team environment across engineering and analytics
- Room to improve processes through automation and continuous optimization
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