Job Summary : The ideal candidate will have extensive experience in data engineering, data mesh, modern data stack, and data sharing, ensuring the seamless transition and integration of EMR systems.
Key Responsibilities : ? Data Architecture : Design and implement scalable data architectures to support EMR migration, leveraging data mesh principles.
- Data Migration : Lead the migration of data from legacy EMR systems to new platforms, ensuring data integrity and security.
- Modern Data Stack : Utilize modern data stack technologies to build robust data pipelines and workflows. ? Data Sharing : Develop and maintain solutions for secure and efficient data sharing across systems and stakeholders.
- Data Products : Create and manage data products that provide actionable insights and support decision-making processes.
- Technical Leadership : Provide technical guidance and mentorship to the data engineering team, ensuring best practices in data management and integration.
- Quality Assurance : Ensure all data migration processes meet quality standards and regulatory requirements. ? Documentation : Create and maintain comprehensive documentation for all data migration processes and solutions.
Required Skills : Qualifications : ? Education : Bachelor?s or Master?s degree in Computer Science, Data Engineering, or a related field.
- Experience : Minimum of 7-10 years of experience in data engineering, with a focus on data migration and healthcare IT.
- Technical Skills : o Data Mesh : Experience with data mesh architecture and principles. o Modern Data Stack : Proficiency in technologies such as Apache Kafka, Apache Spark, dbt, Airflow, and Snowflake.
o Programming Languages : Strong skills in Python, SQL, and other relevant programming languages. o Cloud Platforms : Experience with cloud services (e.
g., AWS, Azure, GCP) for data storage and processing. o Data Sharing : Knowledge of data sharing frameworks and protocols.
o Data Products : Experience in developing and managing data products. Preferred Qualifications : ? Certifications : o AWS Certified Data Analytics - Specialty o Google Professional Data Engineer o Microsoft Certified : Azure Data Engineer Associate o Certified Data Management Professional (CDMP)
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