Role Descriptions: Develop| deploy| and maintain infrastructure using Terraform for cloud and PaaS services.
Manage source code repositories| branching strategies| and CI/CD pipelines using GitHub.
Automate provisioning| scaling| and management of infrastructure and platform workloads.
Build and maintain automation scripts/tools using Python| TypeScript| or similar programming languages.
Ensure infrastructure is secure| resilient| and compliant with best practices.
Troubleshoot| optimize| and monitor environments for performance and reliability.
Collaborate with development| operations| and security teams to deliver robust solutions.
Contribute to documentation| knowledge sharing| and process improvement initiatives.
Responsibilities
Role Descriptions: Develop| deploy| and maintain infrastructure using Terraform for cloud and PaaS services.
Manage source code repositories| branching strategies| and CI/CD pipelines using GitHub.
Automate provisioning| scaling| and management of infrastructure and platform workloads.
Build and maintain automation scripts/tools using Python| TypeScript| or similar programming languages.
Ensure infrastructure is secure| resilient| and compliant with best practices.
Troubleshoot| optimize| and monitor environments for performance and reliability.
Collaborate with development| operations| and security teams to deliver robust solutions.
Contribute to documentation| knowledge sharing| and process improvement initiatives.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Core skills keywords: Polarion configurations, Polarion Customization, Polarion Integration.
Additional keywords: Velocity scripting, Work Item Configuration & Customization, Document Configuration & Customization
Polarion Developer JD :
• Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred.
• 5+ years of work experience
• Extensive hands-on experience in implementing and integrating ALM solutions in complex environments
• Expertise in Siemens Polarion; certification is a plus.
• Polarion ALM-PLM integration
• The configuration of Polarion and Polarion project templates
• Implementation of complex dashboards
• Administration tasks related to process management in Polarion
• Proven experience with integrating engineering tools and creating CI/CD pipelines.
• Familiarity with ALM Infrastructure setup and configuration.
• Working knowledge of Java, J2EE, JavaScript, HTML, CSS, and XML for customization and scripting within ALM tools.
Responsibilities
Core skills keywords: Polarion configurations, Polarion Customization, Polarion Integration.
Additional keywords: Velocity scripting, Work Item Configuration & Customization, Document Configuration & Customization
Polarion Developer JD :
• Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred.
• 5+ years of work experience
• Extensive hands-on experience in implementing and integrating ALM solutions in complex environments
• Expertise in Siemens Polarion; certification is a plus.
• Polarion ALM-PLM integration
• The configuration of Polarion and Polarion project templates
• Implementation of complex dashboards
• Administration tasks related to process management in Polarion
• Proven experience with integrating engineering tools and creating CI/CD pipelines.
• Familiarity with ALM Infrastructure setup and configuration.
• Working knowledge of Java, J2EE, JavaScript, HTML, CSS, and XML for customization and scripting within ALM tools.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
: Master Data Management_Informatica (MDM)
Role Description:
The Informatica MDM Developer (Product 360) is responsible for designing, developing, and supporting master data solutions for Product domains using Informatica Intelligent Data Management Cloud (IDMC) – Product 360.
The role is hands on and focuses on data modeling, match & merge, data quality, enrichment, hierarchy management, and integrations, ensuring accurate, governed, and scalable Product Golden Records.
Mandatory Skills
• 4–8+ years of experience in MDM implementations
• Strong hands on experience with Informatica MDM
• 2+ years experience with IDMC Product 360
• Expertise in:
o Product data modeling
o Match & Merge
o Survivorship
o Hierarchy management
• Strong SQL knowledge
• Understanding of Product master data concepts (SKU, variants, attributes)
• Configure and customize IDMC Product 360 for product master data management
• Develop and manage: Product Business Entities, Attributes and attribute groups & Reference data and lookup tables
• Implement product classifications, categories, and hierarchies
• Configure product relationships
• Design logical and physical Product data models
• Define mandatory, optional, and conditional attributes
• Handle multi level product hierarchies and variants
• Ensure alignment with downstream systems (ERP, PIM, eCommerce)
• Configure Match Models and Match Rules for product de duplication
• Implement exact and fuzzy matching for:
Product name
Manufacturer part number
SKU, UPC, EAN
• Configure merge rules and survivorship logic
• Enable auto merge and steward driven merge workflows
• Support unmerge and audit requirements
• Configure trust rules at: Source level & Attribute level
• Define survivorship strategies:
• Ensure high quality Golden Product Records
Responsibilities
Role Description:
The Informatica MDM Developer (Product 360) is responsible for designing, developing, and supporting master data solutions for Product domains using Informatica Intelligent Data Management Cloud (IDMC) – Product 360.
The role is hands on and focuses on data modeling, match & merge, data quality, enrichment, hierarchy management, and integrations, ensuring accurate, governed, and scalable Product Golden Records.
Mandatory Skills
• 4–8+ years of experience in MDM implementations
• Strong hands on experience with Informatica MDM
• 2+ years experience with IDMC Product 360
• Expertise in:
o Product data modeling
o Match & Merge
o Survivorship
o Hierarchy management
• Strong SQL knowledge
• Understanding of Product master data concepts (SKU, variants, attributes)
• Configure and customize IDMC Product 360 for product master data management
• Develop and manage: Product Business Entities, Attributes and attribute groups & Reference data and lookup tables
• Implement product classifications, categories, and hierarchies
• Configure product relationships
• Design logical and physical Product data models
• Define mandatory, optional, and conditional attributes
• Handle multi level product hierarchies and variants
• Ensure alignment with downstream systems (ERP, PIM, eCommerce)
• Configure Match Models and Match Rules for product de duplication
• Implement exact and fuzzy matching for:
Product name
Manufacturer part number
SKU, UPC, EAN
• Configure merge rules and survivorship logic
• Enable auto merge and steward driven merge workflows
• Support unmerge and audit requirements
• Configure trust rules at: Source level & Attribute level
• Define survivorship strategies:
• Ensure high quality Golden Product Records
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
BI Data Visualization - Tableau~Digital : Microsoft Power BI~ThoughtSpot
Role Descriptions:
1. Dashboard Visualization Development Design and develop high-quality dashboards and reports using Power BI| Tableau| and ThoughtSpot. Build user-friendly| interactive| and scalable visual analytics for business users. Implement data storytelling techniques to translate insights into clear business narratives.
Develop SpotIQ| worksheets| Liveboards| and natural language based insights in ThoughtSpot.
2. Data Modeling Transformation Build optimized semantic models| data sets| and calculations (DAX| LOD| calculated fields).Create efficient models combining multiple data sources (SQL| cloud warehouses| APIs| files).Implement data transformations using Power Query| Tableau Prep| SQL| or ELT pipelines.
3. BI Platform Administration: Manage workspace| access controls| row-level security (RLS)| and governance policies. Publish| refresh| schedule| and optimize dataflows and dashboards. Monitor performance and tune dashboards for speed and reliability.
4. Requirements Gathering Collaboration Work closely with business stakeholders to gather analytic requirements. Convert business needs into BI design documents| mockups| and wireframes. Partner with Data Engineering teams to define data structures| quality expectations| and KPIs.
5. Data Quality| Testing Documentation Conduct data validation| reconcile discrepancies| and ensure high data accuracy. Implement BI testing processes for metrics| filters| joins| and drill-down paths .Maintain documentation including dashboard specs| KPIs| and data lineage.
6. Self-Service BI Enablement Enable business users to use ThoughtSpot and Power BI self-service features responsibly. Provide training sessions| demos| and user guides.
Establish BI best practices| governance standards| and reusable templates.
Responsibilities
BI Data Visualization - Tableau~Digital : Microsoft Power BI~ThoughtSpot
Role Descriptions:
1. Dashboard Visualization Development Design and develop high-quality dashboards and reports using Power BI| Tableau| and ThoughtSpot. Build user-friendly| interactive| and scalable visual analytics for business users. Implement data storytelling techniques to translate insights into clear business narratives.
Develop SpotIQ| worksheets| Liveboards| and natural language based insights in ThoughtSpot.
2. Data Modeling Transformation Build optimized semantic models| data sets| and calculations (DAX| LOD| calculated fields).Create efficient models combining multiple data sources (SQL| cloud warehouses| APIs| files).Implement data transformations using Power Query| Tableau Prep| SQL| or ELT pipelines.
3. BI Platform Administration: Manage workspace| access controls| row-level security (RLS)| and governance policies. Publish| refresh| schedule| and optimize dataflows and dashboards. Monitor performance and tune dashboards for speed and reliability.
4. Requirements Gathering Collaboration Work closely with business stakeholders to gather analytic requirements. Convert business needs into BI design documents| mockups| and wireframes. Partner with Data Engineering teams to define data structures| quality expectations| and KPIs.
5. Data Quality| Testing Documentation Conduct data validation| reconcile discrepancies| and ensure high data accuracy. Implement BI testing processes for metrics| filters| joins| and drill-down paths .Maintain documentation including dashboard specs| KPIs| and data lineage.
6. Self-Service BI Enablement Enable business users to use ThoughtSpot and Power BI self-service features responsibly. Provide training sessions| demos| and user guides.
Establish BI best practices| governance standards| and reusable templates.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role : BI Data Visualization - Tableau~Digital : Microsoft Power BI~ThoughtSpot
Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Snowflake
ob Description:
1. Snowflake Data EngineeringDesign and develop Snowflake data warehouses, schemas, stages, file formats, and secure data sharing.Implement ELT pipelines using Snowflake features (Snowpipe, Streams, Tasks, DBT optional).Optimize query performance, clustering, micropartitioning, and cost governance.Manage Snowflake RBAC, masking policies, and secure access control. 2. AWS Cloud Data PipelinesBuild scalable ingestion pipelines using AWS servicesS3, Lambda, Glue, AWS Step Functions, Kinesis, Athena, EC2, and ECSEKS.Orchestrate data workflows using AWS Glue Workflows, MWAA (Airflow), or similar tools.Implement data lake architectures (medallionbronzesilvergold layers). 3. Data Modeling TransformationDevelop well-structured dimensional models, starsnowflake schemas, and semantic layers.Write efficient SQL, Python, and transformation logic for batch and streaming data.Ensure data quality via validation, profiling, and automated checks. 4. DevOps, CICD AutomationUse Git, CICD (GitHub Actions Azure DevOps AWS CodePipeline) for automated deployments.Containerize workloads using Docker (plus ECRECSEKS for deployment).Implement observability (CloudWatch, SNS, logging, metrics, alerting). 5. Data Governance, Security ComplianceImplement best practices in data security, encryption, access controls, IAM roles, and governance.Partner with business teams to define data catalogs, lineage, and metadata standards.Ensure compliance with PIIPHI privacy requirements where applicable. 6. Collaboration Stakeholder EngagementWork closely with analysts, architects, data scientists, and business teams.Translate requirements into technical design documents, RGS, and implementation plans.Support and enhance data platforms with high availability and reliabil
Responsibilities
Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Snowflake
ob Description:
1. Snowflake Data EngineeringDesign and develop Snowflake data warehouses, schemas, stages, file formats, and secure data sharing.Implement ELT pipelines using Snowflake features (Snowpipe, Streams, Tasks, DBT optional).Optimize query performance, clustering, micropartitioning, and cost governance.Manage Snowflake RBAC, masking policies, and secure access control. 2. AWS Cloud Data PipelinesBuild scalable ingestion pipelines using AWS servicesS3, Lambda, Glue, AWS Step Functions, Kinesis, Athena, EC2, and ECSEKS.Orchestrate data workflows using AWS Glue Workflows, MWAA (Airflow), or similar tools.Implement data lake architectures (medallionbronzesilvergold layers). 3. Data Modeling TransformationDevelop well-structured dimensional models, starsnowflake schemas, and semantic layers.Write efficient SQL, Python, and transformation logic for batch and streaming data.Ensure data quality via validation, profiling, and automated checks. 4. DevOps, CICD AutomationUse Git, CICD (GitHub Actions Azure DevOps AWS CodePipeline) for automated deployments.Containerize workloads using Docker (plus ECRECSEKS for deployment).Implement observability (CloudWatch, SNS, logging, metrics, alerting). 5. Data Governance, Security ComplianceImplement best practices in data security, encryption, access controls, IAM roles, and governance.Partner with business teams to define data catalogs, lineage, and metadata standards.Ensure compliance with PIIPHI privacy requirements where applicable. 6. Collaboration Stakeholder EngagementWork closely with analysts, architects, data scientists, and business teams.Translate requirements into technical design documents, RGS, and implementation plans.Support and enhance data platforms with high availability and reliabil
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Snowflake
Azure Administrator or Security-related certifications.
• Experience operating production-grade AKS environments.
• Exposure to enterprise cloud governance and compliance frameworks.
• Experience with containerization and orchestration (Docker, Kubernetes, AKS).
• Familiarity with DevOps practices and CI/CD pipelines.
• Understanding of compliance and regulatory standards.
Responsibilities
Hands-on experience with Infrastructure as Code (IaC) tools like ARM templates, Bicep, or Terraform.
• Familiarity with security management tools and best practices in Azure.
• Experience with monitoring and logging tools such as Azure Monitor, Log Analytics, and Application Insights.
• Strong troubleshooting skills.
• Effective communication skills and ability to document solutions
• Proven experience administering Microsoft Azure enterprise environments.
• Hands-on experience with Azure Landing Zones, Management Groups, and Subscriptions.
• Strong knowledge of Azure Policy, Azure Security Benchmark, RBAC, and PIM.
• Experience with Azure AD / Entra ID, Azure AD Domain Services, and Azure AD Connect.
• Hands-on experience with AKS private clusters and Availability Zones.
• Experience using Terraform for Azure Infrastructure as Code.
• Strong experience with Azure Monitor and Log Analytics.
• Solid understanding of Azure Firewall and egress traffic control.
• Strong troubleshooting, operational, and documentation skills.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Proven experience in manual Web Application Penetration Testing.
• Proven experience in manual Mobile Application Penetration Testing.
• Hands-on experience in API / Web Services Penetration Testing.
• Hands-on experience in Network Penetration Testing.
• Hands-on experience in Thick Client Penetration Testing.
• Strong understanding of common vulnerabilities, attack techniques, and remediation approaches across application and infrastructure security
Responsibilities
• Proven experience in manual Web Application Penetration Testing.
• Proven experience in manual Mobile Application Penetration Testing.
• Hands-on experience in API / Web Services Penetration Testing.
• Hands-on experience in Network Penetration Testing.
• Hands-on experience in Thick Client Penetration Testing.
• Strong understanding of common vulnerabilities, attack techniques, and remediation approaches across application and infrastructure security
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
