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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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GCP Professional Data Engineer. GCP Professional Cloud Architect. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy.
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As Logitech continues to mature the CyberSecurity program and cloud security, we recognize the value of a formal CyberSecurity Lead Engineer/Architect as one of the key enablers of such a program.
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Solution Architect and/or Developer Certification on Oracle Cloud, AWS, Azure or Google Cloud. Analytics - Data Lake solutions, Big Data, Hadoop - MapReduce, Apache Spark. Oracle Senior Cloud Pre-Sales Solution Engineer Specialist Des Moines , Iowa Apply Now Do you have passion for technology, the curiosity and willingness to learn new skills, work with new tools and discover new and innovative approaches to solving complex technical challenges in an increasing cloud-based world.
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Cloud Architect and Network certifications such as Azure Architect Expert + Azure Network Engineer Associate. Cloud certification such as Azure Architect Expert + Azure Network Engineer Associate.
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Senior Sales Engineer/Solutions Architect experienced solutioning CCaaS solutions that deliver outstanding Customer Experience. Build and configure demo scenarios in Genesys or NICE CXone Cloud Admin and Architect including ACD, IVR, outbound dialers, queuing, skilling, quality, ACD, Email, Web Messaging, and SMS and other digital channels.
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Preferred certifications: Ideally, you have at least 1 Microsoft certification, such as Microsoft Azure Fundamentals, Azure Data Scientist Associate, Azure AI Engineer Associate, Power Platform Solution Architect Expert, or equivalent.
$131,100 - $271,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Senior Software Engineer - Data and Insights. Collaborate with other engineers, engineering management, designers, and product owners to design and architect solutions to our business problems.
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Role: Data Bricks - Data Engineer. DataBricks - Data Engineering. - Create and maintain optimal data pipeline architecture with knowledge in best practices from Databricks around Cluster setup/Development/Deployment.
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Transparent Integration: Architect ML and AI capabilities that can be seamlessly integrated with Flink SQL, Table API, and other components of Confluent Cloud. Solution Design: Define and deliver customer-focused ML and AI solutions that seamlessly integrate with Confluent Cloud data processing, enabling the extraction of valuable insights from streaming data.
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Architect, design, and implement a scalable and highly available Streaming Ingest Platform based on Kubernetes, mostly Java with some java script, Go, Rust, React, PostgreSQL and Redis. Hands-on experience with Kafka, Flink, Spark, or PulsarExperience designing systems that integrate 3rd party code and componentsExperience with Kafka and streaming data processingFostering a diverse, welcoming and inclusive environment is important to us.
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C#, design, expert, php, project architect, senior software engineer. Feature Engineering: Identify and engineer relevant features from raw textual data to improve model performance and predictive accuracy.
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Key Responsibilities: - Collaborate closely with the software development team to architect, develop, and manage AWS-Python Data Engineering applications. Job Title Senior Data Engineer/ETL Developer Relevant Experience(in yrs) 6+ Technical/Functional Skills The Senior Data Engineer/ETL Developer will be responsible for developing, managing, and optimizing ETL solutions and data engineering applications using Python and AWS services.
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Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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C#, design, develop, devops, project architect, senior software developer, software engineer lead. Some of the best CS teams at companies like Mixpanel, Segment, and Productboard trust Vitally to unify their customer data.
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