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2 days ago
As a seasoned professional in data engineering, you have the unique opportunity to contribute to impactful healthcare analytics projects that make a real difference. You will lead the design, development, and maintenance of scalable data pipelines and ETL processes.
Our ideal candidate possesses strong knowledge of data modeling tools and design, as well as proven expertise in data engineering tools and technologies. Experience with cloud platforms and big data technologies is also highly valued.
Here are some of the key responsibilities you will undertake:
- Optimize data storage and retrieval for analytics and reporting.
- Troubleshoot and resolve data-related technical issues.
- Work closely with stakeholders to understand data requirements and translate them into technical solutions.
- Mentor junior colleagues and provide opportunities for technical growth and development.
- Collaborate with various teams across the business to achieve common goals.
We offer full-time employment with career growth opportunities and a chance to work on meaningful projects within the healthcare industry. Our collaborative and structured work environment ensures that you have the support you need to succeed.
The ideal candidate should have a degree in Computer Science or a related field and at least 5 years of experience in data engineering or backend data systems development. Proficiency in ETL tools like AWS Glue and Azure Data Factory is also essential.
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