PowerBI consultant
3–6+ years of hands-on experience with Power BI development.
Strong proficiency in DAX (Data Analysis Expressions) and Power Query (M).
Experience with data modeling (Star Schema, Snowflake Schema).
Proficiency in SQL for data extraction, transformation, and analysis.
Experience integrating Power BI with data sources such as SQL Server, Azure, SharePoint, Excel, APIs.
Strong understanding of ETL processes and data warehousing concepts.
Familiarity with Power BI Premium / Embedded features.
Excellent analytical and problem-solving skills.
Strong communication skills to interact with business and technical teams.
Responsibilities
PowerBI consultant3–6+ years of hands-on experience with Power BI development.
Strong proficiency in DAX (Data Analysis Expressions) and Power Query (M).
Experience with data modeling (Star Schema, Snowflake Schema).
Proficiency in SQL for data extraction, transformation, and analysis.
Experience integrating Power BI with data sources such as SQL Server, Azure, SharePoint, Excel, APIs.
Strong understanding of ETL processes and data warehousing concepts.
Familiarity with Power BI Premium / Embedded features.
Excellent analytical and problem-solving skills.
Strong communication skills to interact with business and technical teams.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Req id-10660235
Location- Chennai, TN
Role Descriptions: Perform Security Operations monitoring and incident response using Google SecOps| leveraging its unified security data model for largescale telemetry ingestionIngest| normalize| and analyze security logs from multiple sources (endpoints| network| cloud| identity| and thirdparty tools) within Google SecOps.Execute alert triage| correlation| and incident prioritization to reduce false positives and improve SOC efficiency
Essential Skills: Perform Security Operations monitoring and incident response using Google SecOps| leveraging its unified security data model for largescale telemetry ingestionIngest| normalize| and analyze security logs from multiple sources (endpoints| network| cloud| identity| and thirdparty tools) within Google SecOps.Execute alert triage| correlation| and incident prioritization to reduce false positives and improve SOC efficiency
Desirable Skills:
Keyword:
Skills: Google Security
Experience Required: 4-6
Responsibilities
Req id-10660235
Location- Chennai, TN
Role Descriptions: Perform Security Operations monitoring and incident response using Google SecOps| leveraging its unified security data model for largescale telemetry ingestionIngest| normalize| and analyze security logs from multiple sources (endpoints| network| cloud| identity| and thirdparty tools) within Google SecOps.Execute alert triage| correlation| and incident prioritization to reduce false positives and improve SOC efficiency
Essential Skills: Perform Security Operations monitoring and incident response using Google SecOps| leveraging its unified security data model for largescale telemetry ingestionIngest| normalize| and analyze security logs from multiple sources (endpoints| network| cloud| identity| and thirdparty tools) within Google SecOps.Execute alert triage| correlation| and incident prioritization to reduce false positives and improve SOC efficiency
Desirable Skills:
Keyword:
Skills: Google Security
Experience Required: 4-6
Salary : Rs. 70,000.0 - Rs. 1,30,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As an Application Tech Support Practitioner, you will be responsible for acting as the ongoing interface between the client and the system or application. Your day-to-day activities will involve utilizing exceptional communication skills to ensure our world-class systems are running smoothly. You will accurately define client issues and interpret and design resolutions based on your deep product knowledge. You are expected to perform independently and become a subject matter expert. Active participation and contribution in team discussions are required, along with providing solutions to work-related problems. Beginner proficiency in Service Desk Management is required. Advanced proficiency in French Language is recommended. Additionally, beginner proficiency in Service Desk Voice Support is suggested.
Develop and maintain strong relationships with clients to understand their needs and provide effective solutions.
Continuously enhance your product knowledge to improve service delivery and client satisfaction.
Collaborate with team members to identify areas for process improvement and implement best practices.
Utilize feedback from clients to refine support strategies and enhance overall service quality.
Engage in ongoing training and development opportunities to advance your skills and knowledge in the field."
Responsibilities
As an Application Tech Support Practitioner, you will be responsible for acting as the ongoing interface between the client and the system or application. Your day-to-day activities will involve utilizing exceptional communication skills to ensure our world-class systems are running smoothly. You will accurately define client issues and interpret and design resolutions based on your deep product knowledge. You are expected to perform independently and become a subject matter expert. Active participation and contribution in team discussions are required, along with providing solutions to work-related problems. Beginner proficiency in Service Desk Management is required. Advanced proficiency in French Language is recommended. Additionally, beginner proficiency in Service Desk Voice Support is suggested.
Develop and maintain strong relationships with clients to understand their needs and provide effective solutions.
Continuously enhance your product knowledge to improve service delivery and client satisfaction.
Collaborate with team members to identify areas for process improvement and implement best practices.
Utilize feedback from clients to refine support strategies and enhance overall service quality.
Engage in ongoing training and development opportunities to advance your skills and knowledge in the field."
Salary : Rs. 0.0 - Rs. 30,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Experience- 6-8
Role Descriptions: Job Description Azure MLOps EngineerRequired InformationSN Required InformationDetails1. RoleAzure MLOps Engineer2. Required Technical Skill SetAzure Machine Learning (Azure ML)| MLOps| Python| CICD (Azure DevOpsGitHub Actions)| Containers (Docker)| Orchestration (AKS)| Infrastructure as Code (BicepTerraform)| Model RegistryDeployment| Monitoring Observability Good-to-Have Databricks| MLflow| Kubernetes| AADEntra ID| SecurityCompliance| MATLAB3. No of Requirements14. Desired Relevant Experience5 to 10 Years5. Location of RequirementIndia Any LocationDesired Competencies (Technical Behavioral Competency)Must-Have- Hands-on experience with Azure Machine Learning (workspaces| compute| environments| datasets| pipelines).- Proficiency in building end-to-end MLOps workflows data prep| training| model packaging| registration| deployment| and automated retraining.- Strong Python skills for ML engineering and automation (SDK v2CLI v2).- Experience deploying models to AKSManaged Online EndpointsBatch Endpoints with blue-green or canary strategies.- CICD using Azure DevOps Pipelines or GitHub Actions (multi-stage YAML| approvals| artifacts).- Infrastructure as Code using Bicep or Terraform| including networking (VNets| subnets| private endpoints).- Model governance versioning| lineage| reproducibility| datamodel drift monitoring| and audit readiness.- Observability using Azure Monitor| Log Analytics| and Application Insights.- Security best practices Entra ID (AAD)| RBAC| Key Vault| Private Link| managed identities| and compliance standards.- Experience with Git| code reviews| branching strategies| and automated testing (unitintegration).Good-to-Have- Experience with Databricks| Delta Lake| and Feature Store patterns.- Familiarity with MLflow trackingregistry and model evaluation frameworks.- Experience with Kubernetes (AKS) and Helm for advanced deployments.- Knowledge of data engineering on Azure (ADFSynapseADLS Gen2Event Hub).- Experience implementing Responsible AI bias checks| explainability| content filters| guardrails.- Exposure to Azure OpenAIagentic patterns and RAG architectures for production workloads.- Professional certifications Microsoft Certified Azure AI Engineer Associate| Azure Data Scientist Associate| or DevOps Engineer Expert.- Strong documentation and stakeholder communication skills.Responsibilities Expectations from the Role- Design and implement scalable MLOps architectures on Azure ML aligned to enterprise standards.- Build automated pipelines for data prep| training| evaluation| and deployment across DevTestProd.- Create reusable templates (YAML| CLISDK scripts| IaC modules) and accelerate project onboarding.- Implement model governance approvals| model cards| championchallenger| and release management.- Operationalize monitoring for performance| drift| data quality| latency| and cost define SLOsSLAs.- Partner with Data Scientists to productionize notebo
Essential Skills: Job Description Azure MLOps EngineerRequired InformationSN Required InformationDetails1. RoleAzure MLOps Engineer2. Required Technical Skill SetAzure Machine Learning (Azure ML)| MLOps| Python| CICD (Azure DevOpsGitHub Actions)| Containers (Docker)| Orchestration (AKS)| Infrastructure as Code (BicepTerraform)| Model RegistryDeployment| Monitoring Observability Good-to-Have Databricks| MLflow| Kubernetes| AADEntra ID| SecurityCompliance| MATLAB3. No of Requirements14. Desired Relevant Experience5 to 10 Years5. Location of RequirementIndia Any LocationDesired Competencies (Technical Behavioral Competency)Must-Have- Hands-on experience with Azure Machine Learning (workspaces| compute| environments| datasets| pipelines).- Proficiency in building end-to-end MLOps workflows data prep| training| model packaging| registration| deployment| and automated retraining.- Strong Python skills for ML engineering and automation (SDK v2CLI v2).- Experience deploying models to AKSManaged Online EndpointsBatch Endpoints with blue-g
Responsibilities
Experience- 6-8
Role Descriptions: Job Description Azure MLOps EngineerRequired InformationSN Required InformationDetails1. RoleAzure MLOps Engineer2. Required Technical Skill SetAzure Machine Learning (Azure ML)| MLOps| Python| CICD (Azure DevOpsGitHub Actions)| Containers (Docker)| Orchestration (AKS)| Infrastructure as Code (BicepTerraform)| Model RegistryDeployment| Monitoring Observability Good-to-Have Databricks| MLflow| Kubernetes| AADEntra ID| SecurityCompliance| MATLAB3. No of Requirements14. Desired Relevant Experience5 to 10 Years5. Location of RequirementIndia Any LocationDesired Competencies (Technical Behavioral Competency)Must-Have- Hands-on experience with Azure Machine Learning (workspaces| compute| environments| datasets| pipelines).- Proficiency in building end-to-end MLOps workflows data prep| training| model packaging| registration| deployment| and automated retraining.- Strong Python skills for ML engineering and automation (SDK v2CLI v2).- Experience deploying models to AKSManaged Online EndpointsBatch Endpoints with blue-green or canary strategies.- CICD using Azure DevOps Pipelines or GitHub Actions (multi-stage YAML| approvals| artifacts).- Infrastructure as Code using Bicep or Terraform| including networking (VNets| subnets| private endpoints).- Model governance versioning| lineage| reproducibility| datamodel drift monitoring| and audit readiness.- Observability using Azure Monitor| Log Analytics| and Application Insights.- Security best practices Entra ID (AAD)| RBAC| Key Vault| Private Link| managed identities| and compliance standards.- Experience with Git| code reviews| branching strategies| and automated testing (unitintegration).Good-to-Have- Experience with Databricks| Delta Lake| and Feature Store patterns.- Familiarity with MLflow trackingregistry and model evaluation frameworks.- Experience with Kubernetes (AKS) and Helm for advanced deployments.- Knowledge of data engineering on Azure (ADFSynapseADLS Gen2Event Hub).- Experience implementing Responsible AI bias checks| explainability| content filters| guardrails.- Exposure to Azure OpenAIagentic patterns and RAG architectures for production workloads.- Professional certifications Microsoft Certified Azure AI Engineer Associate| Azure Data Scientist Associate| or DevOps Engineer Expert.- Strong documentation and stakeholder communication skills.Responsibilities Expectations from the Role- Design and implement scalable MLOps architectures on Azure ML aligned to enterprise standards.- Build automated pipelines for data prep| training| evaluation| and deployment across DevTestProd.- Create reusable templates (YAML| CLISDK scripts| IaC modules) and accelerate project onboarding.- Implement model governance approvals| model cards| championchallenger| and release management.- Operationalize monitoring for performance| drift| data quality| latency| and cost define SLOsSLAs.- Partner with Data Scientists to productionize notebo
Essential Skills: Job Description Azure MLOps EngineerRequired InformationSN Required InformationDetails1. RoleAzure MLOps Engineer2. Required Technical Skill SetAzure Machine Learning (Azure ML)| MLOps| Python| CICD (Azure DevOpsGitHub Actions)| Containers (Docker)| Orchestration (AKS)| Infrastructure as Code (BicepTerraform)| Model RegistryDeployment| Monitoring Observability Good-to-Have Databricks| MLflow| Kubernetes| AADEntra ID| SecurityCompliance| MATLAB3. No of Requirements14. Desired Relevant Experience5 to 10 Years5. Location of RequirementIndia Any LocationDesired Competencies (Technical Behavioral Competency)Must-Have- Hands-on experience with Azure Machine Learning (workspaces| compute| environments| datasets| pipelines).- Proficiency in building end-to-end MLOps workflows data prep| training| model packaging| registration| deployment| and automated retraining.- Strong Python skills for ML engineering and automation (SDK v2CLI v2).- Experience deploying models to AKSManaged Online EndpointsBatch Endpoints with blue-g
Salary : Rs. 70,000.0 - Rs. 1,30,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
