Syntricate Technologies

Architects and 2 Data engineers along with India Team members supporting JMHClient is seeking a Data Engineer with health care experience to implement and manage cross-domain, modular, flexible, scalable, secure, reliable and quality data solutions that transform data to support analytics and insight generation for our clients.. The Data Engineer will implement, test, deploy, monitor, and maintain the delivery of data in a systematic method and will supporta wide variety of analytical needs for our customers.. The Director of Data Engineering will also partner with the broader OAS Analytics organization to harness the power of client data to facilitate analytical insight and will be responsible for building quality and efficiency into every project.. Leverage DevOps tools to enable code versioning and code deployment.. Healthcare background including Azure ADF and Databricks background.

data engineer

100% telecommute. Hours: 9am-5pm EST additional overtime and weekends on as needed basis Team: Architects and 2 Data engineers along with India Team members supporting JMHClient is seeking a Data Engineer with health care experience to implement and manage cross-domain, modular, flexible, scalable, secure, reliable and quality data solutions that transform data to support analytics and insight generation for our clients. The Data Engineer will implement, test, deploy, monitor, and maintain the delivery of data in a systematic method and will supporta wide variety of analytical needs for our customers. The Director of Data Engineering will also partner with the broader OAS Analytics organization to harness the power of client data to facilitate analytical insight and will be responsible for building quality and efficiency into every project.Responsibilities:Support the full data engineering lifecycle including research, proof of concepts, design, development, testing, deployment, and maintenance of data management solutionsUtilize knowledge of various data management technologies to drive data engineering projectsLead data acquisition efforts to gather data from various structured or semi-structured source systems of record to hydrate client data warehouse and power analytics across numerous health care domainsLeverage combination of ETL/ELT methodologies to pull complex relational and dimensional data to support loading DataMart s and reporting aggregates.Eliminate unwarranted complexity and unneeded interdependenciesDetect data quality issues, identify root causes, implement fixes, and manage data audits to mitigate data challengesImplement, modify, and maintain data integration efforts that improve data efficiency, reliability, and valueLeverage and facilitate the evolution of best practices for data acquisition, transformation, storage, and aggregation that solve current challenges and reduce the risk of future challengesEffectively create data transformations that address business requirements and other constraintsPartner with the broader analytics organization to make recommendations for changes to data systems and the architecture of data platformsSupport the implementation of a modern data framework that facilitates business intelligence reporting and advanced analyticsPrepare high level design documents and detailed technical design documents with best practices to enable efficient data ingestion, transformation and data movement.Leverage DevOps tools to enable code versioning and code deployment.Leverage data pipeline monitoring tools to detect data integrity issues before they result into user visible outages or data quality issuesLeverage processes and diagnostics tools to troubleshoot, maintain and optimize solutions and respond to customer and production issuesContinuously support technical debt reduction, process transformation, and overall optimizationLeverage and contribute to the evolution of standards for high quality documentation of data definitions, transformations, and processes to ensure data transparency, governance, and securityEnsure that all solutions meet the business needs and requirements for security, scalability, and reliabilityIdeal Background: Healthcare background including Azure ADF and Databricks background.Required:Bachelor s Degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)Minimum of 5+ years of combined experience in data engineering, ingestion, normalization, transformation, aggregation, structuring, and storageMinimum of 5+ years of combined experience working with industry standard relational, dimensional or non-relational data storage systemsMinimum of 5+ years of experience in designing ETL/ELT solutions using tools like Informatica, DataStage, SSIS , PL/SQL, T-SQL, etc.Minimum of 5+ years of experience in managing data assets using SQL, Python, Scala, VB.NET or other similar querying/coding languageMinimum of 3+ years of experience working with healthcare data or data to support healthcare organizationsPreferred:5+ years of experience in creating Source to Target Mappings and ETL design for integration of new/modified data streams into the data warehouse/data martsMinimum of 2+ years of experience with Epic Clarity and/or Caboodle data models or with Cerner Millennium / HealthEintent and experience using Cerner CCL2+ years of experience working with Health Catalyst product offerings, including data warehousing solutions, knowledgebase, and analytics solutionsEpic certifications in one or more of the following modules: Caboodle, EpicCare, Grand Central, Healthy Planet, HIM, Prelude, Resolute, Tapestry, or Reporting WorkbenchExperience in Unix or Powershell or other batch scripting languagesDepth of experience and proven track record creating and maintaining sophisticated data frameworks for healthcare organizationsExperience supporting data pipelines that power analytical content within common reporting and business intelligence platforms (e.g. Power BI, Qlik, Tableau, MicroStrategy, etc.)Experience supporting analytical capabilities inclusive of reporting, dashboards, extracts, BI tools, analytical web applications and other similar productsExposure to Azure, AWS, or google cloud ecosystemsExposure to Amazon Redshift, Amazon S3, Hadoop HDFS, Azure Blob, or similar big data storage and management componentsDesire to continuously learn and seek new options and approaches to business challengesA willingness to leverage best practices, share knowledge, and improve the collective work of the teamExperience contributing to cross-functional efforts with proven success in creating healthcare insightsAbility to effectively communicate concepts verbally and in writingExperience and credibility interacting with analytics and technology leadership teamsWillingness to support limited travel up to 10% #J-18808-Ljbffr Associated topics: full time remote, home based online, home based position, online survey, part time remote, stay at home employee, stay at home opportunity, telecommute job, wfh employee, work remote

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