Skills
ETL/ELT
Data Pipelines
Data Infrastructure
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 develop ETL/ELT pipelines that enable reliable storage, efficient processing, and scalable analytics for large volumes of information.
You’ll partner closely with data scientists, analysts, developers, and cross-functional teams to ensure our data is trustworthy, accessible, and ready for decision-making.
Responsibilities
- Design and maintain data infrastructure and data pipelines for ingestion, processing, and delivery
- Build and optimize ETL/ELT workflows to support analytics and reporting use cases
- Ensure data quality, reliability, and scalability across environments
- Collaborate with stakeholders to understand requirements and translate them into technical solutions
- Monitor performance and implement improvements to keep pipelines efficient and resilient
Requirements
- Strong background in data engineering and pipeline development
- Analytical mindset with the ability to optimize processes and troubleshoot issues
- Experience working with cross-functional teams in a dynamic, collaborative environment
- Passion for automation and improving data workflows end to end
Benefits
- Opportunity to work on scalable data systems and modern engineering practices
- Collaborative environment with strong cross-team partnership
- Chance to contribute to data reliability, performance, and automation improvements
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