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He has hands on experience with Python, Java, Scala, PySpark, SQL, Hive, Pig, Hadoop Ecosystem on both on-premises and cloud (AWS) Infrastructure. Hands on experience in importing and exporting data from databases like MySQL, MongoDB, Oracle, Teradata into HDFS and vice-versa using Sqoop.
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2+ years of hands-on experience with IaC tools Terraform and GitHub. 3-5 years of experience in developing complex ETL/ELT jobs using Airflow/Composer/DataProc/BigQuery. 3+ years working with Google Cloud Platform (GCP) and a proven track record of building complex infrastructure programmatically with Infrastructure as Code (IaC) tools.
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Experience with Agile, CI/CD, DevOps concepts and Site Reliability Engineer (SRE) principles. Experience with Agile, CI/CD, DevOps concepts and Site Reliability Engineer (SRE) principles. Demonstrated experience on at least three of the following key services: Big Query, Composer, Vertex AI, Document AI, Agent Builder, DataProc, Data Catalog, Notebook.
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Proficient on container-based solution services, have handled 2-3 large scale Kubernetes based infrastructure build out, provisioning of services in Azure or GCP. Act as a key contributor in automating the provisioning of Cloud Infrastructure using Infrastructure as Code (IaC.
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You will find DAP products in the hands of professional painters, remodelers, builders, and do-it-yourselfers, and in 60,000 retail outlets, ranging from home centers and mass merchandisers to your local hardware, pro contractor channels and paint stores.
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Hands-On backend microservices & API development using Java Spring Boot, Node.js, REST, JSON, Docker, Kubernetes, NoSql databases, MongoDB/PostgreSQL and Tomcat with full ownership of software architecture, design and development.
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Large scale implementation and migration experience of Data Center to Cloud Infrastructure automation through DevOps scripting (Ansible, Shell, Python, Ruby, PowerShell)· Hands on experience in terraform IaC deployments.
$51 - $64 an hourRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role will perform hands-on delivery of data analytics projects with focus on process automation, contributing to the development and unit testing of solutions. 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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Hands-on experience planning, configuring, supporting, and optimizing core AWS services including EC2, EBS, S3, WAF, ELB, FSx, RDS, API Gateway, Lambda and CloudFront)Hands-on experience migrating data center applications to the cloud.
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Hands on experience in building solutions using cloud native services (Azure, GCP preferred) Experience with RDBMS and NoSQL Databases and hands-on query tuning/optimization. Responsibilities: As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
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They need more hands on deck to complete these projects and they are more focused on their network oriented projects, they ideally need someone to help with the Cato implementations. Job Description Our client, a construction materials manufacturing company, is looking for a Network System Engineer.
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Hands-on experience in build and administering VMs and Containers using tools such as Docker, and Kubernetes, Responsible for maintaining/Enhance existing scripts for Infrastructure deployment using Git Actions, Python/Shell scripting, and Azure CLI.
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This position is hands-on and crosses into the realm of a cloud engineer in that they will also have duties in the implementation and management of our cloud applications and infrastructure.
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Development Skills: Utilize development experience with PowerShell, Python, Java, REST, and JSON. Skills and Knowledge: SailPoint IdentityNow Experience: Must have hands-on experience with SailPoint IdentityNow. Identity Management: Solid knowledge of identity data flows, engineering workflows, security roles, certification/attestation, entitlement management, SOD, and access governance in SailPoint.
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Responsibilities The Identity & Access Management Engineer is a hands-on role to design, support, troubleshoot and extend our Identity and Authentication services. Provide advanced design and engineering functions in coordination with the product owners for the following skillset areas: Directory Services, IGA, PAM, Windows, Linux, and automation/scripting.
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hands job Title: engineer in Dallas, UT, Australia
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