About the role: We are seeking a highly skilled and motivated Data Engineer to join our Global Transformation Company. As a Data & AI Data Engineer in the Hospital & Health Care industry, you will play a crucial role in managing, transforming, and analysing complex healthcare datasets to drive data-driven decisions and improve patient outcomes. You will be responsible for developing robust data pipelines, implementing data integration solutions, and ensuring data quality and integrity.
If you are passionate about data, have strong analytical and problem-solving skills, and want to make a meaningful impact in healthcare, this is the ideal opportunity for you. Join our dynamic team and contribute to shaping the future of healthcare through data and AI.
Responsibilities:
- Design, develop, and deploy data pipelines, ETL processes, and data integration solutions to support healthcare data acquisition and analysis.
- Implement scalable and efficient data storage, retrieval, and transformation processes using modern data technologies and tools.
- Collaborate with data scientists, data analysts, and other cross-functional teams to identify data requirements and deliver solutions that meet business and analytical needs.
- Perform data profiling, cleansing, and validation to ensure data quality and integrity.
- Optimize and tune database queries and data processing workflows to achieve high performance and efficiency.
- Develop and maintain documentation for data models, data dictionaries, and data transformation processes.
- Assist in troubleshooting and resolving data-related issues, ensuring timely and accurate resolutions.
Qualifications & Experience:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience as a Data Engineer, Data Analyst, or similar role in the healthcare industry.
- Expertise in SQL, Python, and data querying languages.
- Experience with cloud platforms such as AWS or Azure.
- Proficiency in data modelling, data warehousing concepts, and database design principles.
- Familiarity with big data technologies (Hadoop, Spark, etc.) and distributed data processing frameworks.
- Knowledge of machine learning algorithms and AI technologies.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
- Attention to detail and a commitment to delivering quality work.
Skills:
- Outstanding interpersonal and communication skills.
- Strong planning, organization, and time management skills.
- Proficiency in Clinical Information Systems
- Demonstrable success in stakeholder interactions, delivering aligned solutions.
- Familiarity with clinical environments and terminology.
- Strong values of integrity, commitment, and self-improvement.
- A methodical, thorough yet flexible approach.
- Process-driven mindset.
