CSense Application
Capgemini
CSense Application
Job Description
CSense Application
📋 Job Overview
As a member of the CSense Application team at Capgemini, you will design and evolve data and control solutions that integrate shop-floor systems, retail operations, and enterprise analytics. The role involves architecting ETL/data pipelines, embedding AI/ML capabilities to enhance OEE, quality, and throughput, and collaborating with sales and delivery teams. You will lead presales activities and drive best practices in data management for industrial and retail clients.
📍 Location: Hyderabad
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Collaborate with account teams to qualify opportunities and translate business goals into CSense solution blueprints
- Design robust ETL/data processing pipelines across industrial control systems (PLC/SCADA), MES/LIMS, and retail POS/OMS
- Model data structures and metadata for business intelligence, performance measurement, and compliance reporting
- Integrate machine learning (supervised learning, decision trees) for predictive quality, demand forecasting, and anomaly detection
- Architect secure IT infrastructure for hybrid edge–cloud deployments with strong internal controls and governance
- Lead presales activities: RFP responses, demos, PoCs, value cases, and workshops for FMCG, retail, and industrial production clients
- Define KPIs including OEE and work-quality metrics; instrument CSense dashboards for performance management
- Partner with process engineering and mechatronics teams to digitize operations and improve flexibility and throughput
- Drive best practices in data management, lineage, and observability; ensure work products meet high quality standards
- Contribute to reusable assets, accelerators, and knowledge sharing across technology and engineering communities
✅ Required Qualifications
- 6-9 years of experience
🛠️ Required Skills
- ETL/data pipelines
- AI/ML integration
- Machine learning (supervised learning, decision trees)
- Industrial control systems (PLC/SCADA)
- MES/LIMS
- Retail POS/OMS
- Data modeling and metadata
- Business intelligence
- Performance measurement
- Compliance reporting
- Predictive quality
- Demand forecasting
- Anomaly detection
- Secure IT infrastructure
- Hybrid edge–cloud deployments
- Internal controls and governance
- Presales activities (RFP responses, demos, PoCs, value cases, workshops)
- KPIs definition (OEE, work-quality metrics)
- Dashboard instrumentation
- Process engineering
- Mechatronics
- Operations digitization
- Data management
- Data lineage
- Observability
- Knowledge sharing
🎁 Benefits & Perks
- Empowered to shape your career
- Supported by a collaborative global community
- Inspired to reimagine what’s possible
- Work in a responsible and diverse organization with market-leading capabilities in digital, cloud, and data
Locations
- Hyderabad, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- ETL/data pipelinesintermediate
- AI/ML integrationintermediate
- Machine learning (supervised learning, decision trees)intermediate
- Industrial control systems (PLC/SCADA)intermediate
- MES/LIMSintermediate
- Retail POS/OMSintermediate
- Data modeling and metadataintermediate
- Business intelligenceintermediate
- Performance measurementintermediate
- Compliance reportingintermediate
- Predictive qualityintermediate
- Demand forecastingintermediate
- Anomaly detectionintermediate
- Secure IT infrastructureintermediate
- Hybrid edge–cloud deploymentsintermediate
- Internal controls and governanceintermediate
- Presales activities (RFP responses, demos, PoCs, value cases, workshops)intermediate
- KPIs definition (OEE, work-quality metrics)intermediate
- Dashboard instrumentationintermediate
- Process engineeringintermediate
- Mechatronicsintermediate
- Operations digitizationintermediate
- Data managementintermediate
- Data lineageintermediate
- Observabilityintermediate
- Knowledge sharingintermediate
Required Qualifications
- 6-9 years of experience (experience)
Responsibilities
- Collaborate with account teams to qualify opportunities and translate business goals into CSense solution blueprints
- Design robust ETL/data processing pipelines across industrial control systems (PLC/SCADA), MES/LIMS, and retail POS/OMS
- Model data structures and metadata for business intelligence, performance measurement, and compliance reporting
- Integrate machine learning (supervised learning, decision trees) for predictive quality, demand forecasting, and anomaly detection
- Architect secure IT infrastructure for hybrid edge–cloud deployments with strong internal controls and governance
- Lead presales activities: RFP responses, demos, PoCs, value cases, and workshops for FMCG, retail, and industrial production clients
- Define KPIs including OEE and work-quality metrics; instrument CSense dashboards for performance management
- Partner with process engineering and mechatronics teams to digitize operations and improve flexibility and throughput
- Drive best practices in data management, lineage, and observability; ensure work products meet high quality standards
- Contribute to reusable assets, accelerators, and knowledge sharing across technology and engineering communities
Benefits
- general: Empowered to shape your career
- general: Supported by a collaborative global community
- general: Inspired to reimagine what’s possible
- general: Work in a responsible and diverse organization with market-leading capabilities in digital, cloud, and data
Tags & Categories
CSense Application
Capgemini
CSense Application
Job Description
CSense Application
📋 Job Overview
As a member of the CSense Application team at Capgemini, you will design and evolve data and control solutions that integrate shop-floor systems, retail operations, and enterprise analytics. The role involves architecting ETL/data pipelines, embedding AI/ML capabilities to enhance OEE, quality, and throughput, and collaborating with sales and delivery teams. You will lead presales activities and drive best practices in data management for industrial and retail clients.
📍 Location: Hyderabad
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Collaborate with account teams to qualify opportunities and translate business goals into CSense solution blueprints
- Design robust ETL/data processing pipelines across industrial control systems (PLC/SCADA), MES/LIMS, and retail POS/OMS
- Model data structures and metadata for business intelligence, performance measurement, and compliance reporting
- Integrate machine learning (supervised learning, decision trees) for predictive quality, demand forecasting, and anomaly detection
- Architect secure IT infrastructure for hybrid edge–cloud deployments with strong internal controls and governance
- Lead presales activities: RFP responses, demos, PoCs, value cases, and workshops for FMCG, retail, and industrial production clients
- Define KPIs including OEE and work-quality metrics; instrument CSense dashboards for performance management
- Partner with process engineering and mechatronics teams to digitize operations and improve flexibility and throughput
- Drive best practices in data management, lineage, and observability; ensure work products meet high quality standards
- Contribute to reusable assets, accelerators, and knowledge sharing across technology and engineering communities
✅ Required Qualifications
- 6-9 years of experience
🛠️ Required Skills
- ETL/data pipelines
- AI/ML integration
- Machine learning (supervised learning, decision trees)
- Industrial control systems (PLC/SCADA)
- MES/LIMS
- Retail POS/OMS
- Data modeling and metadata
- Business intelligence
- Performance measurement
- Compliance reporting
- Predictive quality
- Demand forecasting
- Anomaly detection
- Secure IT infrastructure
- Hybrid edge–cloud deployments
- Internal controls and governance
- Presales activities (RFP responses, demos, PoCs, value cases, workshops)
- KPIs definition (OEE, work-quality metrics)
- Dashboard instrumentation
- Process engineering
- Mechatronics
- Operations digitization
- Data management
- Data lineage
- Observability
- Knowledge sharing
🎁 Benefits & Perks
- Empowered to shape your career
- Supported by a collaborative global community
- Inspired to reimagine what’s possible
- Work in a responsible and diverse organization with market-leading capabilities in digital, cloud, and data
Locations
- Hyderabad, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- ETL/data pipelinesintermediate
- AI/ML integrationintermediate
- Machine learning (supervised learning, decision trees)intermediate
- Industrial control systems (PLC/SCADA)intermediate
- MES/LIMSintermediate
- Retail POS/OMSintermediate
- Data modeling and metadataintermediate
- Business intelligenceintermediate
- Performance measurementintermediate
- Compliance reportingintermediate
- Predictive qualityintermediate
- Demand forecastingintermediate
- Anomaly detectionintermediate
- Secure IT infrastructureintermediate
- Hybrid edge–cloud deploymentsintermediate
- Internal controls and governanceintermediate
- Presales activities (RFP responses, demos, PoCs, value cases, workshops)intermediate
- KPIs definition (OEE, work-quality metrics)intermediate
- Dashboard instrumentationintermediate
- Process engineeringintermediate
- Mechatronicsintermediate
- Operations digitizationintermediate
- Data managementintermediate
- Data lineageintermediate
- Observabilityintermediate
- Knowledge sharingintermediate
Required Qualifications
- 6-9 years of experience (experience)
Responsibilities
- Collaborate with account teams to qualify opportunities and translate business goals into CSense solution blueprints
- Design robust ETL/data processing pipelines across industrial control systems (PLC/SCADA), MES/LIMS, and retail POS/OMS
- Model data structures and metadata for business intelligence, performance measurement, and compliance reporting
- Integrate machine learning (supervised learning, decision trees) for predictive quality, demand forecasting, and anomaly detection
- Architect secure IT infrastructure for hybrid edge–cloud deployments with strong internal controls and governance
- Lead presales activities: RFP responses, demos, PoCs, value cases, and workshops for FMCG, retail, and industrial production clients
- Define KPIs including OEE and work-quality metrics; instrument CSense dashboards for performance management
- Partner with process engineering and mechatronics teams to digitize operations and improve flexibility and throughput
- Drive best practices in data management, lineage, and observability; ensure work products meet high quality standards
- Contribute to reusable assets, accelerators, and knowledge sharing across technology and engineering communities
Benefits
- general: Empowered to shape your career
- general: Supported by a collaborative global community
- general: Inspired to reimagine what’s possible
- general: Work in a responsible and diverse organization with market-leading capabilities in digital, cloud, and data
Tags & Categories