Skills
ETL/ELT
Data Pipelines
Data Infrastructure
About the Role
We’re looking for a highly skilled, results-driven Data Engineer to design, build, and maintain our data infrastructure. In this role, you’ll create reliable data pipelines and ETL/ELT processes that enable efficient storage, processing, and analysis of large volumes of information.
You’ll partner closely with data scientists, analysts, developers, and cross-functional teams to ensure data is accurate, accessible, and scalable for decision-making.
Responsibilities
- Design and maintain data infrastructure and data pipeline architectures
- Develop and optimize ETL/ELT workflows for large-scale data processing
- Build and maintain data ingestion, transformation, and loading pipelines
- Ensure data quality, reliability, and performance across systems
- Collaborate with stakeholders to understand requirements and deliver scalable solutions
- Continuously improve automation and efficiency of data engineering processes
Requirements
- Strong experience in data engineering and building ETL/ELT pipelines
- Solid analytical thinking and problem-solving skills
- Ability to work effectively in a dynamic, collaborative environment
- Strong focus on data reliability, accessibility, and scalability
Benefits
- Opportunity to work on data infrastructure that supports analytics and business decisions
- Collaborative environment with data scientists, analysts, and engineering teams
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