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Hands-on experience with data integration tools (e.g. Apache Spark, Apache Kafka) Solid experience with data integration toolsets (i. Manage the transformation of large daily batch data volumes in the cloud using Apache Spark, EMR, and Glue, ensuring streamlined processing and cost savings.
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Proficient working experience in data collection (e.g., API, web scraping), data processing, data modeling, data integration (e.g., end-to-end ETL pipelines), and database / data warehouse management (e.g., with Databricks / Snowflake.
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Deep understanding of security best practices and standards securing integration endpoints, encrypting data at rest and in transit, and implementing identity access management (IAM) controls.
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Experience in Java 1.8, Data Weave, JSON, Open API and RAML is required in a cloud or hybrid architecture platform. Experience with application/data integration tools such as Mulesoft, Informatica, or Sna.
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Logistics and supply chain, cloud computing, freight, TMS, enterprise SaaS, rating, imaging, LTL freight, 3PL, tariff management, dispatch, Truckload, web services, API, Tracking and Monitoring Solutions, Logistics Data Integration, Telematics Platforms, Freight and Logistics Visibility, and Supply Chain Visibility.
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API Configuration: Configure APIs for chatbot solutions in the cloud connecting to external systems and various data sources. Machine Learning Integration: Integrate ML algorithms and models into chatbot systems to enhance response generation, question answering, and user engagement.
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API integration experience – REST API / Application Gateway (Apigee) or MuleSoft / Real time APIs. Awareness and good familiarity with tools / applications regularly used by electric distribution or transmission system Operators, Operating Engineers, and Planning Engineers such as: SCADA, Outage Management System (OMS), Distribution Management System (DMS), Power Flow modeling tools (e.g., CYME), Geographic Information System (GIS), operational data historian (e.g., OSISoft Pi.
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The Cybersecurity, Intelligence and Services (CIS) business provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges.
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Experience with API development and microservices architecture (REST, GraphQL), RESTful service consumption and integration, Kafka or data streaming platforms. Data science ML engineering background preferred.
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Experience with Power Automate Desktop RPA, AI Builder technologies, PowerApps integration with Azure API Apps and REST services, Power Pages, Power Virtual Agents and its customization and deployment, Dynamics 365 customizations.
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This individual will provide direction and subject matter expertise on Omni-channel integration architectures and technologies including Boomi (formerly known as Dell Boomi), Solace Queues, API, Micro Services patterns etc.
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This position requires strong experience with AWS integration with data lake pipelines such as Glue, DynamoDB, Lambda, API Gateway, S3, RedShift, Crawlers, Athena, workflow, Terraform, GIT, etc.
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The DQ Technology Lead for Digital Core reports to the Data Quality and Governance Officer and will be responsible for building new and effective integration of existing Data Quality and Governance Solutions in new Mars technology landscape build as part of Digital Core program.
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Strong understanding of complex technical topics in Dynamics 365 including Application Integration Framework (AIF), Workflow, Data Import, Reporting, and LCS. Able to design and Architecture in D365 and Power Platform solutions using Model Driven Apps, Dataverse, Cloud Flows, Power BI, Hands-on experience working with multiple data sources including Dataverse (CDS), SQL/Azure SQL, SharePoint, and other connectors.
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Minimum of 1 year of experience with different integration architecture principles, patterns and protocols, ex: Process integration, Data Integration, Integration with SAP and Non-SAP SaaS products, protocols, such as JSON, XML, Groovy Script, OData, EDI and IDoc.
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