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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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4-5 years of demonstrated hands-on experience in designing and configuring secure and scalable cloud platform patterns on Azure. Certified IT Architect (CITA), Certified Enterprise Architect (CEA), Microsoft Cloud Platform and Infrastructure (MCSE), or AWS Certified Solutions Architect – Professional.
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7+ years of hands-on experience with bash shell scripts, UNIX utilities, and UNIX commands. Experience with GCP tools such as BigQuery, Cloud SQL, Python, Cloud Composer/Airflow, Cloud Storage, and Dataflow/Data Fusion.
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Hands-on experience with cloud security tools such as AWS Security Hub, Azure Security Center, or GCP Security Command Center. Experience with AWS & Azure - Hands-on experience architecting & administering with at least one and working knowledge of the other.
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Experience and understanding of large-scale cloud platforms (e.g., Amazon AWS, Microsoft Azure, GCP, etc.) Hands-on Data, Analytics and AI engineering experience and ability to design, build and engineer solutions as and when needed.
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Technical Skills: Proficient in Snowflake Data Cloud, including hands-on experience with data warehousing, SQL, and SnowSQL. Strong experience with ETL tools and processes. We have an immediate long-term opportunity with one of our prime clients for a position of Data Engineer to work on Remote basis.
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Participate in designing, coding, unit testing, debugging, configuring, maintaining and documenting of high-quality Java applications using Spring Boot, Apache Camel, Spring Integration, Spring MVC, Angular, Oracle, PostgreSQL in on-prem and AWS cloud environments.
$75 - $80 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Should have hands on python with AWS CLI. · Align with the DevOps AWS Architect on strategies and implementation plans. The role involves enhancing CI/CD pipelines, infrastructure automation, and overall DevOps practices across on-premise and AWS environments.
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Our client, a reputable family investment firm, is on the hunt for a talented AWS Cloud Engineer to join their growing cloud infrastructure team in Dallas. If you have hands-on experience with Terraform, AWS, Kubernetes, and more, this is an exciting opportunity to contribute to a thriving organization with ample growth prospects.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Develop and optimize data storage solutions, including data warehousing, data lakes, and NoSQL databases on cloud platforms such as AWS, Azure, or Google Cloud. Hands-on experience with big data technologies such as Kafka, Spark, HDFS, HBase, Flink, DBT, SQLMesh, etc.
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Experience you'll bring A minimum of 5+ years of hands-on experience in designing, implementing, and managing cloud infrastructure on Azure and AWS platforms. How you'll make an impactCloud Infrastructure Design and Implementation: Design and implement robust, scalable, and secure cloud infrastructure solutions on Azure and AWS platforms, adhering to industry best practices and company standards.
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Experience delivering solutions across multiple cloud-based solutions including Azure, and AWS, and deploying to iPaaS solutions such as MuleSoftExperience in the following tools and technologies: Atlassian Confluence, SonarQube, LucidChart, Ansible, Terraform, Kubernetes.
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With a focus on developing and implementing OpenText Exstream Cloud Native (CN) configurations, you'll be integral to the success of mission-critical projects over a long-term contract. Migration Expertise: Experience in migrating from legacy Exstream to Exstream Cloud Native (CN) is a significant advantage.
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Design, develop & implement ETL processes on Azure/AWS Cloud using Databricks and pyspark. 10+ years of hands-on software engineering experience. Design, develop & implement ETL processes on Azure/AWS Cloud using Databricks and pyspark.
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hands on aws cloud jobs Company: Omni Inclusive in Dallas, CO, Canada
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