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Design, build, and maintain Azure DevOps Pipelines for continuous integration and continuous deployment (CI/CD) workflows. 2024 We are seeking a Software Engineer with a strong background in cloud services and infrastructure, who is passionate about security, automation, scalability, and reliability.
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Design, implement, test, maintain and support web applications for clinical lab informatics, bioinformatics, digital pathology, anatomic pathology, and clinical pathologyPractices software development, unit testing, integration testing, code review, documentation, and version controlSupport data engineering efforts, including database and API design, data extraction/transformation/load and data aggregation/integration.
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Worked for TOSCA integration with Jenkins. Ability to Setup automated test suite in Jenkins CI (Continuous Integration) with Maven build script. Extensive experience in writing and implementation of complex test plans, Automation Coverage plans and execution of test scripts for System, Integration and Regression Testing.
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Integrate automated tests into the build process and ensure continuous integration using Azure DevOps or equivalent experience. In this role, you will develop your skills in test automation, DevOps practices, and data management while working on ambitious projects that emphasize flawless execution and continuous integration.
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Experience: Extensive development experience with Workday Financials, focusing on configuration, system functionality, and integration management. Technical Expertise: Strong proficiency in Workday integration tools, including but not limited to EIBs, RaaS, and APIs, with experience in conducting XSLT transformations.
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Experience with developing sophisticated Continuous Integration & Continuous Delivery (CI/CD) pipeline including software configuration management, test automation, version control, static code analysis using (Jenkins, Stash, Ansible, Docker.
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As a result of continued growth, our Technology Deployment - Systems Integration team is now searching for an innovative and solutions-oriented Systems Development Engineer to be a part of our global initiative of developing and delivering the next generation of world-class fulfillment systems through the use of advanced technology.
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Experience with RDBMS (Oracle or SQL Server) or NoSQL like MongoDB Experience with Continuous Integration/Continuous Deployment (CI/CD) tools like Jenkins to monitor and troubleshoot CI/CD pipeline issues related to build, deploying, and ensuring automated tests run seamlessly in the CI/CD environment, providing quick feedback on code changes.
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Responsibilities Responsible for technical delivery and integration for authentication, authorization, identity provisioning, and identity governance and administration (IGA) solutions across all University systems, audience types, and applications.
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Job DescriptionThe Sr. Software Engineer performs Software/Firmware development for new NPI (New Product Introduction) projects, and perform hardware/firmware integration, testing, and debugging.
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Workday Integration Developer certifications. 3+ years of experience designing and developing integration solutions in Workday using Core Connectors, Workday Studio, Custom Reports or RaaS solutions.
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Expert-level proficiency in Azure Data Factory, Integration Platforms, Python programming, DBT, and data modeling. Demonstrated experience with API development and management for data integration.
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Provide comprehensive support for MDM solutions : Manage data ingestion, master record creation, outbound data extracts, and API integration to maintain seamless data operations. Objectives of the role As an MDM Data Engineer, you will work in a fast-paced, innovative, and collaborative environment on exciting data management directives.
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For example, you may work on algorithms for catheter localization, mapping of ventricular tachycardias and substrate, ablation tagging, and integration with other devices in the cardiac electrophysiology lab.
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Knowledge of common data integration/orchestration platforms such as Prefect, Dagster, Fivetran, or Airflow. Expertise with at least one cloud data warehouse: Snowflake, Redshift. Knowledge of common data integration/orchestration platforms such as Prefect, Dagster, Fivetran, or Airflow.
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integration job Title: engineer in Boston, MA
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