Skills
ETL/ELT
Data Pipelines
Data Infrastructure
About the Role
We’re looking for a highly skilled, results-driven Data Engineer to help build and maintain our data infrastructure. In this role, you’ll design and develop data pipelines and ETL/ELT processes that enable efficient storage, processing, and analysis of large-scale data.
You’ll collaborate closely with data scientists, analysts, developers, and cross-functional teams to ensure data is reliable, accessible, and scalable for decision-making.
Responsibilities
- Design, develop, and maintain data infrastructure and data pipelines
- Build and optimize ETL/ELT workflows for loading, transforming, and delivering data
- Ensure data quality, reliability, and performance across systems
- Partner with analytics and engineering teams to support scalable data access
- Automate recurring data engineering tasks and improve process efficiency
Requirements
- Strong technical background in data engineering and pipeline development
- Analytical mindset with the ability to troubleshoot and optimize complex workflows
- Experience working with large volumes of data in collaborative environments
- Ability to communicate effectively with data scientists, analysts, and developers
Benefits
- Collaborative, dynamic team environment
- Opportunity to work on scalable data platforms and automation
- Impactful role supporting analytics and data-driven decisions
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