Data Engineer with BI
Job Description
Minimum of 7 years of experience in data governance, data quality, data management principle.
Experience in data collection, data flow management, data quality, and data standards from from varied group of data sets like Value Set Authority Center (VSAC) and Fast Healthcare Interoperability Resources (FHIR).
Experience in retrieving and assembling data from multiple sources/formats, creating derived datasets, and implementing data specifications to create OCCS datasets to be used in research.
Basic understanding of python, SQL, MySQL, Oracle, PostgreSQL, MongoDB, XML/JSON, or other languages/tools
Experience with data modeling, metadata management, and data profiling.
Proficiency in SQL, data manipulation languages, and ETL tools.
Knowledge of data warehousing and business intelligence concepts.
Experience with data integration and interoperability standards (e.g., HL7, FHIR).
Relational database management experience in platforms like Oracle, PostgreSQL, MySQL, etc.
NonSQL database management experience in MongoDB or Cassandra with the ability to share, define the schema, etc. as well as supported tools like ElasticSearch, NodeJS, and AngularJS.
JavaScript fluency and an understanding of frameworks like AngularJS or ReactJS.
XML and its related tooling and supporting technologies like Xpath, etc.
Knowledge of decoupled application architecture through API with HTTP protocol or offline downloading protocol like FTP.
Solid understanding of computer science principles like data structures, algorithms, etc. to continually improve oneβs ability and current implementation.
Solid experience in the use of software engineering tools like JIRA, agile methodology, test-driven development, etc.
Hands-on experience in cloud computing environments like AWS, Azure, or Google Cloud.
Experience in Extract-Transform-Load (ETL) tooling like kettle, etc.
Experience in Java or any scripting language like Python, Perl, etc.
Demonstrated experience in working with other organizations to review and advise on a wide range of specific value-set content issues referenced in MU regulations.
Demonstrated experience in providing eCQM-related support.
Hands-on experience in evaluation and advice on a wide range of specific terminology-related standards questions from different organizations, such as ONC.
Bachelorβs degree, in Computer Science / Information Technology, or related field
Any of the certifications in data management like Certified Data Management Professional (CDMP) / Certified Information Data Management (CIDM) / Certified Data Governance Professional (CDGP) / Certified Data Quality Professional (CDQP) / Certified Master Data Management Professional (C/MDMP) / AWS Certified Data Analyst / Azure Data Engineer Associate / Google Cloud Certified Professional Data Engineer
Date Posted
08/24/2024
Views
2
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