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Showing 9 jobs
Skills:
Performance Tuning, Scala, Data Modeling, Data Governance, Sql, ELT, Git, Azure Data Factory, Azure Functions, Azure Synapse Analytics, Python, Etl, Azure DevOps, Logic Apps, Azure SQL Data Lake Storage, CI/CD pipelines

Skills:
data engineering , Google Cloud Platform, Digital Transformation, Cloud Migration, Data Quality, Data Warehousing, Microsoft Azure, Databricks, Data Governance, AWS, Etl, Data Lakes, Data Pipelines, Analytics, Advanced Analytics Platforms, Business Intelligence Reporting, ELT Frameworks
Skills:
Kms, Pyspark, Iam, Sql, Python, AWS Lake Formation
Skills:
PowerShell, Siem Tools, Identity And Access Management, Data Protection, Python, conditional access, CISA Zero Trust Maturity Model, ZTNA, SASE, SSE, MFA, Security strategies architectures and roadmaps, Zero Trust principles and frameworks, Privileged access, NIST SP 800-207, Microsegmentation, Application and developer-environment access, Device trust
Skills:
data engineering , Automated Testing, Microservices, Identity And Access Management, DevSecOps, Distributed Systems, Containers, Kubernetes, API-first design, NoSQL databases, event-driven integration, CI CD, ML AI engineering, cloud-native engineering, full stack application engineering, Responsible AI, domain-driven design, infrastructure as code, serverless patterns
Skills:
release management, PostgreSQL, Dynamodb, Automated Testing, Kotlin, Firebase, Gcp, Distributed Systems, RESTful API development, MongoDB, Mobile Application Security, Swift, Azure, AWS, DevOps practices, server-side technologies, cloud-based architectures, CI CD automation, microservices architecture, performance optimization, API integrations
Skills:
scalable architecture , Java, Distributed Systems, System Design, Scala, Backend Engineering, Python, Go
Skills:
React, SQL Server, Nodejs, Django, Git, Typescript, Azure Cloud, Bootstrap, FastAPI, Python, Kubernetes, Azure DevOps, Tailwind CSS, CI CD
Skills:
containerization , Data Modelling, Cloud Technologies, Sql, Sdlc, Nosql, Restful Apis, Kubernetes, LLMs, UI technologies, CI CD, data stores, agentic AI systems, microservices development, Production Operations, messaging systems such as Kafka, AI productivity tools such as Claude or GitHub Copilot, AI ML technologies, modern deployment practices, observability
