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Client: Healthcare
Responsibilities:
• Design and implement scalable data architectures and processing systems specifically for healthcare data.
• Develop data pipelines to support the extraction, transformation, and loading (ETL) of large-scale healthcare datasets.
• Collaborate with data scientists to ensure data pipelines support machine learning model requirements.
• Ensure data integrity, quality, and compliance with healthcare data privacy standards (e.g., HIPAA).

Skills Required:
• Proficiency in data engineering technologies like Apache Spark, Hadoop, and Kafka, with applicability to healthcare data.
• Strong programming skills in SQL, Python, and experience with healthcare data formats (e.g., HL7, FHIR).
• Experience with cloud data platforms (e.g., Azure, AWS) for healthcare applications.
• Knowledge of healthcare data modeling and regulatory compliance.

Experience:
• 6+ years of experience in data engineering with a focus on healthcare data.
• Proven success in building and maintaining large-scale, secure healthcare data 
systems.
• Experience in managing data compliance within the healthcare industry