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Job Title: Data Engineer / Google Cloud Platform Developer (AI/ML Focus) Location: Greater Washington, DC Area (On-site 3 days per week) Position Type: Full-time Experience Level: 2-5 years Job Description: We are seeking a talented and dynamic Data Engineer / Google Cloud Platform (GCP) Developer to join our team, focusing on software development and AI/ML (Artificial Intelligence / Machine Learning) capabilities.
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Knowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, LEAN etc) and DevOps practicesProven track record designing and building complex end-to-end systems (full stack developer)Hands-on experience in designing and developing using the one or more of the following technologiesJava RESTful Web Services (Java, J2EE, JUnit, and Tomcat.
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Jane Englebright, PhD, RN CENP, FAAN Senior Vice President and Chief Nursing Executive If you find this opportunity compelling, we encourage you to apply for our Sr Software Engineer opening.
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Sensor Simulation Engineer / Principal Investigator - Hands-on Technical Lead. This position requires an individual capable of interfacing directly with customers as the project lead while also being the hands-on technical developer of hardware and software solutions.
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5 years in at least one modern programming languages (Java, Python, JavaScript, ACE, IIB/ITX, Informatica preferred), and experience with at least two of the following: React, Angular v4+, NodeJS, NoSQL databases, HTML5, CSS, Google Cloud Platform or Amazon Web Services.
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Our cloud-based environment uses Google Workspace, Zoom, Cisco, Palo Alto, Okta, and Jamf, with a primary user base on Mac systems and a transition from Windows underway. Experience with Google Workspace, Okta, Atlassian products, Zoom, and other cloud IT systems.
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Require one or more of the following certifications or licensing: CCNP, CCNA, CCIE, ITIL, JNCIE, CISSP, SP, JNCIP, AWS Certified Solutions Architect, AWS Certified Advanced Networking, Google Cloud Professional Cloud Network Engineer, or Microsoft Certified: Azure Solutions Architect Expert, Palo Alto PCNSE.
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Experience with SAP ERP systems – OTC, Finance, Master Data is preferred Certification in relevant areas (e.g., Snowflake, AWS Certified Data Analytics, Google Cloud Professional Data Engineer) is preferred Strong dedication to code quality, automation and operational excellence using CI/CD pipelines and unit/integration tests.
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A Leader in the field of Data Engineering, Machine Learning and Google Cloud (Director / Architect / Lead / Head of / Staff) Google Expert | Director AI | Head of Machine Learning | Head of Data Engineering | Lead Data Architect | Lead Data Engineer | Lead Machine Learning Engineer.
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Recent hands-on experience with AWS Cloud development, deployment, and monitoring. Hands-on experience with data platforms and technologies like Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino.
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Develop and manage data infrastructure on Google Cloud Platform (GCP) for optimal performance and cost efficiency. This role involves building data pipelines with Snowflake, dbt, and Google Cloud Platform (GCP) while utilizing Python for data processing and automation.
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Proven experience as an MDM Informatica Expert, with at least 6-8 years of hands-on experience in Informatica MDM migration to Informatica MDM to Cloud. Design, develop, and implement Master Data Management (MDM) solutions using Informatica MDM software primarily cloud migration.
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Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc) and CI/CD tools (IDEs, GitLab, GitHuB, Jenkins, CircleCI, etc.
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Work with top-flight software, mechanical, and electrical engineering talent from places like Google, Palantir, and NASA JPL. Impact - You're deeply mission-driven and you think there's more to life than software that enables puppy ears to be superimposed on photos.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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hands on software engineer google cloud jobs Title: sr software engineer in Enfield, Connecticut
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