
Senior Data Engineer
4 weeks ago
- Working with a Global Team
- Full remote setup
About Our Client
Our client is a large organization within the health-tech industry that is at the forefront of technology and innovation. They offer a stable and structured work environment with opportunities to contribute to impactful healthcare analytics projects.
Job Description
- Lead the design, development and maintenance of scalable data pipelines and ETL processes.
- 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 and guide junior colleagues while providing opportunities for technical growth and development.
- Decision-making regarding data system design, architecture, and optimizing strategies.
- Cross-team collaboration with various teams across the business.
The Successful Applicant
A successful Senior Data Engineer should have:
- A degree in computer science, Information Technology, or any related fields.
- 5+ years of experience in data engineering or backend data systems development.
- Proficiency in ETL tools such as AWS Glue and Azure Data Factory.
- Strong knowledge and proficiency in data modelling tools & design.
- Proven expertise in data engineering tools and technologies.
- Strong knowledge of data modeling and database design.
- Experience with cloud platforms and big data technologies.
- Ability to build data solutions at the enterprise scale.
What's on Offer
- Full-time employment with opportunities for career growth.
- A chance to work on impactful projects within the healthcare industry with a global team.
- Collaborative and structured work environment.
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