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Skills: Spark+ Java + Spring Boot + Kubernetes + Debugging and troubleshooting in production
Location: Bangalore
Exp: 7+ Years
Shift: 11 am to 8 pm and 2 pm to 10 pm
Work Mode: 5 Days WFO
Notice period: Immediate joiners only
Must have 8+ years applied experience with Java and some Python and Bash scripting
Must have worked on container technologies like Kubernetes
Must have Expertise in Spring and Spring Boot.
Must have Data Engineering Background especially used Apache Spark.
Must have worked on at least one messaging infrastructure like Kafka
Must be Proficient in Relational Database like Postgres/Oracle
Must have in depth knowledge on SQL.
Expert in maintaining and troubleshooting Incidents in production in an enterprise environment
Exposure to cloud technologies especially hands-on with AWS Glue, S3,Lambda,EKS etc .
Job ID: 151487295
Skills:
Aws Lambda, Amazon S3, Node.js, Amazon CloudWatch, Rest API Development, AWS IAM, AWS IoT Core, Amazon API Gateway, AWS cloud services, Amazon SNS, test-driven development, AWS IoT Device Management
Skills:
Machine Learning, VB.NET, Grafana, Tensorflow, Nosql, Numpy, Pytorch, Vba, Visual Studio Code, Python, Power Bi, AI ML, Sql, Cloud Technologies, Pandas, Rest Apis, Data Analytics, digital manufacturing, Autocad, Industry 4.0, Scikit-Learn, CAD Customization, Siemens NX NX Open, DELMIA, Teamcenter Integration, Process Simulate, Catia V5
Skills:
.NET Framework, CSS, SQL Server, HTML, Bower, Grunt, Gulp, React, Typescript, Javascript, Rest Apis, Oracle, Jasmin, HDA, OPC DA, Micro Service Containerized applications, Gen AI tools, time series database, UA specifications
Skills:
.NET, .NET Framework, Xaml, Java, Windows Desktop, Agile Methodologies, Networking, Winforms, Wpf, multi-threaded environments, interfacing with embedded devices
Skills:
Prometheus, Grafana, Docker, Terraform, Ansible, Shell scripting, Dynatrace, Azure, Kubernetes, Python, GitHub Actions, Azure Monitor