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5+ years of experience in designing and building data pipelines on Azure using Azure Data Factory, Azure Synapse, Azure Databricks or Microsoft Fabric. Solid understanding of Delta Lake and Lakehouse architecture in Microsoft Fabric.
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Experience in data architecture, data governance, data modeling, data transformation (from converting data, to data cleansing, to building data structures) data lineage, data Integration, and master data management.
$100 - $125 an hourFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Should have in depth knowledge on different ETL & BI tools like Snowflake, Databricks, PySpark, Azure Cloud, ADF, Azure Synapse Analytics & Azure Hub Events. Should have executed atleast 2 Cloud based programs including Cloud Data Warehouses like Snowflake and Databricks on Azure.
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We implement modern backend solutions that support microservices architecture with the following technologies: NET Core, Node.js, Java, SQL Server, PostgreSQL, MongoDB, Redis, RabbitMQ. For the web UI front-end development, we opt for React, or Angular, and for mobile development — Swift, Kotlin, Java. Most of the systems are designed for cloud infrastructures like AWS, Azure, GCP, and heavily rely on Docker, Kubernetes while modern CI/CD is made using GitLab CI or TeamCity.
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Experience optimizing large language models (LLM) Expertise with Encoder/Decoder architecture Familiarity with MLIR and backends associated with various Intel HW. Familiarity with AWS and cloud services such as Microsoft Azure.
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3+ years of public cloud experience (AWS, GCP, Azure) 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS.
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As a Senior Software Engineer, you will be part of the Participants Team within Card Core at Capital One. On a day to day basis, you will leverage AWS fargate, Lambda as well as DynamoDB for Microservice Architecture as well as Event First Architecture powered by Kafka to fulfill our workflows.
$165,100 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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At least 3 years of experience working with cloud platforms such as AWS, Azure, Google Cloud or OpenStack. SAP aims to develop an Open Reference Architecture (ORA) for a secure and sustainable cloud edge infrastructure that includes intelligent optimization methods for data transparency and security.
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Experience with code repositories Azure DevOps Server, GIT, GITLab, SVN. Passion for AWS cloud architecture, provisioning, monitoring, and maintenance management. Experience with continuous integration tools Jenkins, Azure Pipelines.
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These applications are built on target architecture which include APIs and Microservices leveraging severless patterns and AWS managed services. 1+ years of experience with AWS, GCP, Azure, or another cloud service.
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2+ years' experience with Kafka, Streaming ,and Event-Driven Architecture. At least 2 years' experience with public cloud technologies (AWS, GCP, Azure) You will collaborate with Architecture, Card Product, Card Technology and Enterprise stakeholders to drive this critical project forward.
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The core of our technology stack is C#, but we are interested in programmers with a wide variety of skills and interests including: Azure DevOps for version control and continuous integration and continuous deployment C.
$71,291 - $84,892 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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UX Content Designers leverage their expertise in content strategy, information architecture, interaction design, and digital communication to shape the entire user journey. Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured.
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Hands on experience in Data Pipeline and integration tools like Talend, Change Data Capture (CDC), Spark & Azure APIs. Experience in working on Kubernetes platform on a microservices architecture on high traffic applications.
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