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Job Summary
We are seeking a highly skilled Engineering Manager to lead a team of engineers in designing, developing, and delivering high-quality solutions. The ideal candidate should have strong technical expertise, leadership skills, and the ability to collaborate with cross-functional teams.
Work Schedule:
4 days onsite.
Key Responsibilities
Required Skills & Qualifications
Preferred Qualifications
Job ID: 112620053
Skills:
data masking , Paas, Github, Adf, ADO, Azure Synapse, Encryption, Sonarqube, Azure Data Lake, Ml, Migrations, Power Bi, Azure Sql, DevSecOps, GenAI, Azure stack, SRE, Safe, FaaS, compliance standards, Lakehouse Medallion Architecture, Distributed database architectures, Datawarehouse modeling techniques, Data Platform Modernization, Lean, Ai, Security Governance, cloud-native engineering, microservices architecture, Xp, data governance frameworks
Skills:
cloud platform , XGBoost, Tensorflow, Nlp, Numpy, Pandas, Gcp, Pytorch, Python, LangChain, Document extraction using AI, Vision AI, Scikit-learn, Gen AI, Conversational AI
Skills:
Git, release management, Confluence, Performance Monitoring, Agile Methodologies, Automated Testing, Scrum, Jira, Kanban
Skills:
Unix, Paas, SNMP, automation, Python, Argo, Jenkins, Git, Netconf, Linux, Ansible, Kubernetes, GitOps, K8S, Go, CaaS, ML based xApps, containerized application development, CI-CD automation, rApps, YANG, cloud-native technologies, 5G NR standards, hybrid cloud, SMO RIC framework, deployment troubleshooting, RESTful interfaces
Skills:
Java, Scala, Kafka, Microservices, Gcp, Docker, Spark, Azure, Kubernetes, Python, cloud-native AWS, Cloud platform architecture, observability
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