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Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud. Build advanced analytics solutions using various cloud technologies and collaborating with Tech Product Team and Data Scientists to robustly scale up AI/ML Models.
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Having minimum 8+ years experience with detail idea of application design and hands on with extreme coding on Spring boot, Spring MVC, Spring Core, JPA, Microservices, Java 8, Java11, Java20, JUNIT, Mockito, AWS Cloud, AWS Lambda, AWS EC2, Jenkins, MySQL, Oracle and also having minimum 7+ years experience with detail idea of UI design with hands on with extreme coding on ReactJS, NodeJS, Webpack, Redux, Javascript, Typescript, Karma.
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Practical expertise in cybersecurity, including experience in Cloud Security, Application Security (DevSecOps), network security, endpoint security, threat modeling, SIEM, IAM, and various security controls.
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Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau. Leverage a broad set of modern technologies including Python, R, Scala, and Spark to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training.
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Cloud migration experience for applications connective with various Oracle source systems(OIC, ODI, Fusion HCM, Fusion ORC,etc.,) Good experience and understanding of operationalization of large scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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In-depth knowledge of various database management systems (DBMS) such as relational databases (e.g., Oracle, SQL Server, PostgreSQL), NoSQL databases (e.g., MongoDB, Cassandra), and cloud-based data services (e.g., Amazon RDS, Azure SQL Database.
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Understanding of DevSecOps, Agile, Scrum construct to identify inefficiencies through readiness assessments and development of strategies and approaches to optimize the implementation of IT or cloud resources and capabilities.
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Good experience of designing/developing microservices with technologies such as Java, Spring Boot, Spring Cloud, Spring Data Flow, Python, Node.js and Netflix OSS Microservices stack4. Experience across platforms (e.g. Openshift, Cloud Foundry), private cloud (e.g. Openstack, VMware), public clouds (AWS, Azure, GCP) to evaluate and recommend solutions best suited for the customer organization.
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Knowledge of further Cloud technologies (Redshift, S3, EC2, EMR, Talend/Pentaho/Snowflake) A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Work together with both upstream and downstream service owners, producers and other cloud, infrastructure and embedded DevOps programmers to ship solutions. Work with public cloud infrastructure to facilitate a fast-moving ecosystem (we use AWS.
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Platforms including but not limited to: Instrumentation, PLC, DCS Controllers, HMI/SCADA, Server Architectures, Plant Historian, APC, Motor Control, Intelligent Power, as well as Analytics, IIoT, and Cloud Automation.
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Lead solution design leveraging DG tools, such as Informatica IDMC, Collibra, Alation, or open source and cloud-native capabilities (AWS, Azure, GCP) Our cloud -based platforms - Axtria DataMAx, Axtria SalesIQ, Axtria InsightsMAx, and Axtria CustomerIQ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations.
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Strong on data Integration and architecture MuleSoft, Informatica Cloud, MFT. AI & MLOPS Dataiku, RStudio, Datalabs, Databricks BPM Appian Data Storage, Prep & Modeling AWS Data Visualization, Visual Analytics Data Quality.
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