What are the responsibilities and job description for the AWS Data Engineer position at Michael Page International?
Job Details
Client Details
A renowned healthcare institution in New York City, specializing in orthopedic surgery, musculoskeletal medicine, and rheumatology. It is widely recognized for its expertise in treating complex bone, joint, and soft tissue conditions and has earned a global reputation for excellence in patient care, research, and education in the field of musculoskeletal health.
Description
To accurately describe the key responsibilities for the AWS Data Engineer role, here's a breakdown:
Develop and Manage AWS Data Infrastructure: Utilize AWS services like LakeFormation, S3, Athena, Redshift, and Lambda to design, implement, and maintain data solutions, ensuring data accessibility, security, and integrity.
Data Integration and ETL: Leverage ETL tools and Python for data extraction, transformation, and loading processes, ensuring smooth integration of data across various platforms.
AI/ML Platform Integration: Work with Sagemaker to integrate AI and machine learning capabilities into the data platform, enabling predictive analytics and data-driven decision-making.
Configuration and Optimization: Be hands-on with Redshift for data storage and analytics, configuring environments to optimize performance and scalability for large datasets.
Automation and Scripting: Use tools like Docker and CloudFormation to automate infrastructure deployment and manage cloud resources efficiently.
Data Security and Privacy: Ensure adherence to data privacy regulations and handle confidential data, particularly in healthcare settings, with a focus on HIPAA compliance and secure data zones.
Collaboration and Documentation: Collaborate with cross-functional teams to understand data needs and document all data-related processes, architectures, and policies for future scalability and compliance.
Profile
A successful candidate for the AWS Data Engineer role would have hands-on experience with AWS technologies such as LakeFormation, S3, Athena, Redshift, Lambda, and Sagemaker, along with strong expertise in Python and ETL processes for data integration. They should be skilled in configuring and optimizing cloud infrastructure, particularly with Redshift and CloudFormation, and have a deep understanding of data security, especially in compliance with HIPAA regulations and handling confidential data.
The ideal candidate will be proficient in automation using Docker, capable of working in a fast-paced, dynamic environment, and have experience with healthcare data management, including familiarity with EPIC systems. Additionally, they should have a solid understanding of IAM policies, data zones, and privacy best practices, making them an effective contributor to both technical and compliance-driven projects.
Job Offer
Immediate start date. Ability to work remotely 4 days per week. Full time Sr. AWS Data Engineer position with an established large healthcare organization.
MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.
