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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Oversee the architectural design, development, and deployment of scalable, reliable, and secure multi-tenant SaaS solutions on Azure/AWS, setting high standards for technical excellence. Proven expertise in Azure/AWS cloud services and cloud-native architecture, with a strong ability to guide and mentor teams in leveraging these technologies.
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Experience writing script languages in Groovy, Python, PowerShell, Golang, MSBuild, Terraform, ARM Templates, or BicepExtensive hands-on to integrating Maven, Gradle, package managers like NPM and JSPM, build tools to application builds and troubleshooting build issues.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Azure, or another cloud service. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
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Experience with cloud-based AI platforms (e.g., AWS SageMaker, Google Cloud AI Platform). Hands-On Oversight: Actively contribute to the design, development, evaluation, and implementation of AI solutions, especially in the early stages of team formation.
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Experience and understanding of large-scale application portfolios in enterprise-wide environments (including migration of on-premise workloads to the cloud). Additionally, they focus on bringing financial accountability to the variable spend model of cloud, drive consumption-based billing, enabling distributed teams to make business trade-offs between speed, cost, and quality.
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Other QualificationsFamiliarity with AWS IAM to develop secure solutions, specifically with resource access policies and IAM rolesFamiliarity with AWS infrastructure as code solutions, such as CDK or Cloud FormationExperience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standardsExperience with cloud-native capabilities, including data at scale, edge computing, and AI-based solutions.
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Hands-on experience with Linux administration, basic network troubleshooting, and infrastructure as code and automation tools (e.g., Ansible, Terraform). Oversee operational tasks for FedRAMP cloud products, including deployments, on-call duties, and incident management.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Minimum 4 to 5 years of experience designing and implementing cloud solutions (AWS, Azure, or GCP). Description We are currently hiring a hands-on Gen AI, AI and ML Ops Engineering Lead within Data Digital and Technology (DD&T) function which is a part of Oncology Business Unit at Takeda and the Data Management Team. This is an individual contributor role, so you should be prepared to roll up your sleeves and flex a wide variety of skills.
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Design, architect, and implement scalable data solutions on Google Cloud Platform (GCP) to meet the strategic data needs of the organization. Skills: Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and IAM. Proficiency in data modeling, ETL processes, and data warehousing.
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O Oversee execution testing of Security Incident Event Management (SIEM) across several security domains including Cloud SaaS vendor, Comptroller’s office, and EOTSS. o Oversee integration testing of EOTSS Single Sign On (SSO), EOTSS Identify Access Management (IAM), EOTSS Multi-Factor Authentication (MFA), Cloud SaaS Vendor user access management, and Comptroller’s access controls and provisioning processes.
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3+ years of hands-on experience as a quantitative developer developing financial models and software solutions. This is a hands-on development role where you will be 'embedded' within the quantitative research team and will partner with the investment teams on various projects including portfolio construction, risk management, and alpha research.
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3+ years leveraging Databricks, Snowflake, AWS, or equivalent cloud data platforms. Minimum of 6 years of experience in pharmaceutical research, with an emphasis on data engineering, data science, data integrity, and data governance.
$210,120 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience delivering security solutions across major cloud service provider (AWS, Azure, GCP) platforms. Apply specialized knowledge in particular non-financial risk domains, and broad acumen across facets of all domains including cybersecurity, technology, cloud, operational resiliency, data, third party, privacy, and product risk.
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Excellent knowledge of Python, Spark, and T-SQLHands-on experience on crafting and developing scripts for ETL processes and automation in Azure data factory, Azure Databricks and PySparkGood understanding of data modeling and ability to apply different techniques within a cloud platform.
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hands on aws cloud jobs Company: Rxsense in Boston, WA, Canada
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