Overview
We are seeking a highly capable Data Engineer with hands-on experience to build, test and optimize scalable data pipelines and analytics solutions. Maintain awareness of emerging approaches in data architecture, data modelling, pipeline design, automation and DevOps practices relevant to the analytics ad data platform landscape.
This role will partner closely with data architect, data scientists, analysts, product teams, and business stakeholders to deliver production-grade data products that drive operational and strategic decision-making.
Key Responsibilities
As a Data Engineer, you will
* Design, build, and maintain robust ETL/ELT pipelines for healthcare datasets
* Contribute to the design and automation of data flows that replace manual processes and improve efficiency
* Develop reusable data engineering frameworks and CI/CD pipelines
* Contribute to data quality and metadata requirements
* Collaborate with Data, BI and Architecture colleagues
* Ensure data engineering solutions comply with information governance, security and data protection requirements
* Create clear technical documentation for pipelines, models and processes
1. Good understanding of DevOps principles including version control and controlled release
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