Lead Data Engineer
Lead Data Engineer
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Job Description
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 decisionmaking 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: Bachelors or Masters degree in Computer Science Data Engineering or a related field. Experience: Minimum of 710 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)
Employment Type
Full Time
