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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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DE performing technical analysis, implementation approach planning, and validation for MDM solutions, using MDM Reltio; analyzing use cases, requirement specifications, and architecting modern data integration frameworks for highly scalable distributed systems using open source and emerging data architecture designs patterns using SnapLogic and Kubernetes; and building scalable and performant data solutions (OLTP, MDM, or data warehouse) on-premises, in public cloud (AWS), and in hybrid Cloud.
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Job Location: Available to work On-Site, Boston, MA. Note: Need local candidate and must be live in MA, NH, or CT Job Description: Position Overview: We are seeking a skilled and experienced CyberArk Security Engineer to collaborate with our chosen solution integrator on the implementation of CyberArk solutions, including Privilege Access Management (PAM), Endpoint Privilege Management (EPM), and Secure Cloud Access (SCA.
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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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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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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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Cloud Expertise: Proficient in AWS, Azure, or GCP with deep knowledge of cloud architecture, microservices, and serverless computing. Vendor Management: Manage relationships with cloud service providers such as AWS, Azure, or GCP to negotiate contracts and services.
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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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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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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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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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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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Must have good work experienceknowledge in ADLS ADF Snowflake Databricks Azure AIML Purview APIs Collibra Data processing in Azure cloud. Experience in suggesting in innovative solutions based on Snowflake Databricks new features and latest trends to development team.
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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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hands on aws cloud jobs Title: developer in Boston, WI, Germany
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