Data Engineer, Managed Service, Requirements/Qualifications As part of the service, the Data Engineer will be a data professional with: ?
A Bachelor"s degree in computer science or a related field, or an equivalent combination of education and technical training that demonstrates analytical and technical proficiency. ?
A minimum of five (5) years of experience in the technology industry or a related field, including: o Building highly scalable architectures on large-scale database platforms. Experience with cloud platforms such as GCP (highly preferred), AWS, or Azure. o Working in a complex data infrastructure environment. o Proficiency in Python and Spark. o Extensive experience in data pipeline development using industry-standard data integration tools. o Involvement in the SDLC process, including requirements gathering, analysis, architecture, design, implementation, testing, deployment, and technical support. o Using industry-standard tools for source control and project management. o Writing test cases and test scripts for data quality assurance. o Creating stored procedures and functions. o Developing dimensional data models with industry-standard tools. o Experience with MS SSIS and SSAS. Data Engineer, Managed Service, Responsibilities ?
Provide Tier 1 support for EDW jobs, ensuring system operational continuity and offering timely technical assistance for production issues. ? Support hospital goals and initiatives by identifying cost-saving opportunities and understanding business partner challenges to maximize value. ? Design, build, and launch sophisticated data models supporting diverse use cases across different products or domains. ? Have at least 1 year of experience developing ML pipelines to support data science or VertexAI experience. ? Build CI/CD pipelines for the data engineering platform using tools like Bitbucket, Bamboo, Confluence, Jira, or related industry-standard toolsets. ? Solve complex data integration challenges using optimal ETL patterns and query techniques, integrating both structured and unstructured data sources. ? Identify business requirements, create technical solutions to address challenges, and advocate for continuous improvement in data engineering processes. ? Analyze requirements, perform maintenance, and test integrations to ensure system reliability and functionality. ? Conduct thorough quality assurance testing and validation, ensuring all solutions are well-tested and documented before production release. ?
Collaborate with the Lead Data Engineer to develop and maintain source code management and version control procedures, ensuring code integrity and traceability. ? Identify, implement, and share innovative improvements, enhancing system processes and deliverables. ? Work closely with team members to meet deadlines efficiently, showing initiative and contributing to project success. ? Follow project management and Agile methodology guidelines, ensuring disciplined and precise project execution. ? Create and manage your own objectives, key results, stories, and tasks, and own them to completion by the sprint. ? Help maintain service level agreements with data load, requests, and incidents defined within SCH. ? Maintain proper communication and escalation processes by being responsive to any page alerts for production support. ? Maintain and enhance the performance, accuracy, and efficiency of existing solutions, optimizing systems to meet evolving organizational needs. ? Create and maintain detailed technical documentation for system builds, support processes, and design diagrams, ensuring clear communication and knowledge transfer. - Data Engineer, Managed Service, Requirements/Qualifications As part of the service, the Data Engineer will be a data professional with: A Bachelor"s degree in computer science or a related field, or an equivalent combination of education and technical training that demonstrates analytical and technical proficiency. A minimum of five (5) years of experience in the technology industry or a related field, including: Building highly scalable architectures on large-scale database platforms. Experience with cloud platforms such as GCP (highly preferred), AWS, or Azure. Working in a complex data infrastructure environment. Proficiency in Python and Spark. Extensive experience in data pipeline development using industry-standard data integration tools. Involvement in the SDLC process, including requirements gathering, analysis, architecture, design, implementation, testing, deployment, and technical support. Using industry-standard tools for source control and project management. Writing test cases and test scripts for data quality assurance. Creating stored procedures and functions. Developing dimensional data models with industry-standard tools. Experience with MS SSIS and SSAS. Data Engineer, Managed Service, Responsibilities Provide Tier 1 support for EDW jobs, ensuring system operational continuity and offering timely technical assistance for production issues. Support hospital goals and initiatives by identifying cost-saving opportunities and understanding business partner challenges to maximize value. Design, build, and launch sophisticated data models supporting diverse use cases across different products or domains. Have at least 1 year of experience developing ML pipelines to support data science or VertexAI experience. Build CI/CD pipelines for the data engineering platform using tools like Bitbucket, Bamboo, Confluence, Jira, or related industry-standard toolsets. Solve complex data integration challenges using optimal ETL patterns and query techniques, integrating both structured and unstructured data sources. Identify business requirements, create technical solutions to address challenges, and advocate for continuous improvement in data engineering processes. Analyze requirements, perform maintenance, and test integrations to ensure system reliability and functionality. Conduct thorough quality assurance testing and validation, ensuring all solutions are well-tested and documented before production release.
Collaborate with the Lead Data Engineer to develop and maintain source code management and version control procedures, ensuring code integrity and traceability. Identify, implement, and share innovative improvements, enhancing system processes and deliverables. Work closely with team members to meet deadlines efficiently, showing initiative and contributing to project success. Follow project management and Agile methodology guidelines, ensuring disciplined and precise project execution. Create and manage your own objectives, key results, stories, and tasks, and own them to completion by the sprint. Help maintain service level agreements with data load, requests, and incidents defined within SCH. Maintain proper communication and escalation processes by being responsive to any page alerts for production support. Maintain and enhance the performance, accuracy, and efficiency of existing solutions, optimizing systems to meet evolving organizational needs. Create and maintain detailed technical documentation for system builds, support processes, and design diagrams, ensuring clear communication and knowledge transfer.
