1170 Cloud Platform Jobs - Page 13

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Pega Platform Good to have skills : Pega MarketingMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education and Must have CSA and CSSA certification Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with cross-functional teams to ensure that the architecture is viable, secure, and performs optimally, while also creating proofs of concept to validate your designs. You will be responsible for deploying infrastructure and platform environments, ensuring that all components work together effectively to meet organizational goals and client needs. Your role will require a proactive approach to problem-solving and a commitment to continuous improvement in cloud technologies. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development of best practices for cloud application deployment and integration.- Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Pega Platform.- Good To Have Skills: Experience with Pega Marketing.- Strong understanding of cloud infrastructure and services.- Experience with application deployment and integration strategies.- Familiarity with security protocols and performance optimization techniques. Additional Information:- The candidate should have minimum 3 years of experience in Pega Platform.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education and Must have CSA and CSSA certification

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructure. Your typical day will involve collaborating with various teams to ensure the architecture's viability, security, and performance while creating proofs of concept to validate your designs. You will engage in hands-on development and troubleshooting, ensuring that the solutions meet the required standards and specifications. Additionally, you will be involved in continuous learning and adapting to new technologies to enhance the cloud infrastructure and application performance. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate the performance of cloud applications to ensure optimal functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud architecture and deployment strategies.- Experience with infrastructure as code tools such as Terraform or CloudFormation.- Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.- Ability to analyze and optimize cloud resource usage for cost efficiency. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google Cloud Platform Architecture Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications are aligned with business objectives. You will also engage in testing and troubleshooting to enhance application performance and user experience, while continuously seeking opportunities for improvement and innovation in application design and functionality. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Familiarity with cloud security best practices.- Experience in application development using cloud-native technologies.- Strong understanding of application integration techniques.- Knowledge of DevOps practices and tools for continuous integration and deployment. Additional Information:- The candidate should have minimum 2 years of experience in Google Cloud Platform Architecture.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Storage Area Networks (SAN) Architecture and Design Good to have skills : NetApp NAS Architecture and DesignMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with cross-functional teams to ensure that the architecture is viable, secure, and performs optimally, while also creating proofs of concept to validate your designs. You will be responsible for deploying infrastructure and platform environments, ensuring that all components work together effectively to meet organizational goals and client needs. Your role will require a proactive approach to problem-solving and a commitment to continuous improvement in cloud technologies. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development of best practices for cloud application solutions.- Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Storage Area Networks (SAN) Architecture and Design.- Good To Have Skills: Experience with NetApp NAS Architecture and Design.- Strong understanding of cloud infrastructure and deployment models.- Experience with automation tools for infrastructure deployment.- Familiarity with security best practices in cloud environments. Additional Information:- The candidate should have minimum 3 years of experience in Storage Area Networks (SAN) Architecture and Design.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:?Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. Develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services?Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline. Apply GenAI-Vertex AI models as part of the solution, ?Ensure proper cloud application pipeline with production-ready quality. Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Have some understanding of AI/ML algorithms and techniques.- Experience with chatbot , generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google BigQueryMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve data processes to enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Google BigQuery.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with data warehousing concepts and best practices. Additional Information:- The candidate should have minimum 5 years of experience in Google Cloud Platform Architecture.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google BigQueryMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data architecture strategy, ensuring that the solutions you develop are scalable and efficient. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the optimization of data processing workflows to enhance performance.- Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Google BigQuery.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with data governance and data quality frameworks. Additional Information:- The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:i.Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.ii.Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.iii.Develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.iv.Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud servicesv.Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks.vi.Creation of agents in Agent builder and integrating them into end end to pipeline.vii.Apply GenAI-Vertex AI models as part of the solution, viii.Ensure proper cloud application pipeline with production-ready quality.ix.Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Have some understanding of AI/ML algorithms and techniques.- Experience with chatbot , generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : VMware Horizon Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with cross-functional teams to ensure that the solutions meet performance and security standards while also creating proofs of architecture to validate their viability. You will be responsible for deploying infrastructure and platform environments, ensuring that all components work harmoniously together to deliver optimal results for the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development of best practices for cloud application deployment and management.- Collaborate with team members to troubleshoot and resolve technical issues in a timely manner. Professional & Technical Skills: - Must To Have Skills: Proficiency in VMware Horizon.- Strong understanding of cloud infrastructure and deployment strategies.- Experience with virtualization technologies and their implementation.- Familiarity with security protocols and best practices in cloud environments.- Ability to analyze and optimize cloud application performance. Additional Information:- The candidate should have minimum 2 years of experience in VMware Horizon.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google BigQueryMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer - AI/ML, you will be responsible for designing, building, and maintaining scalable data pipelines and systems that power AI/ML applications on Google Cloud platforms. Your typical day will involve leveraging Google Clouds data services, implementing GenAI and AI/ML models, and supporting data-driven solutions through efficient architecture and engineering.________________________________________ Roles & Responsibilities:i.Design and develop scalable data pipelines and ETL processes using Google Cloud data services like BigQuery, Dataflow, Pub/Sub, and Dataproc.ii.Build and optimize data architectures to support AI/ML applications and model training at scale.iii.Collaborate with data scientists and ML engineers to implement data ingestion, feature engineering, and model-serving pipelines.iv.Develop and manage data integration solutions that align with enterprise data governance and security standards.v.Support GenAI/Vertex AI model deployment by ensuring reliable data access and transformation pipelines.vi.Implement monitoring, logging, and alerting for data workflows and ensure data quality across all stages.vii.Enable self-service analytics by building reusable data assets and data marts for business stakeholders.viii.Ensure cloud-native, production-grade data pipelines and participate in performance tuning and cost optimization.ix.Experience with programming languages such as Python, SQL, and optionally Java or Scala.________________________________________ Professional & Technical Skills: Must To Have Skills: Strong experience in Google Cloud Data Services (BigQuery, Dataflow, Pub/Sub) and hands-on with scalable data engineering pipelines.Good To Have Skills: GenAI/Vertex AI exposure, Cloud Data Architecture, PCA/PDE certifications.Understanding of data modeling, data warehousing, and distributed computing frameworks.Experience with AI/ML data pipelines, MLOps practices, and model deployment workflows.Familiarity with CI/CD and infrastructure-as-code tools (Terraform, Cloud Build, etc.) for data projects.________________________________________ Additional Information:The candidate should have a minimum of 3 years of experience in Google Cloud Data Engineering or related domains.The ideal candidate will possess a strong educational background in computer science, data engineering, or a related field, along with a proven track record of building and scaling data systems for AI/ML initiatives. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google BigQueryMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer - AI/ML, you will be responsible for designing, building, and maintaining scalable data pipelines and systems that power AI/ML applications on Google Cloud platforms. Your typical day will involve leveraging Google Clouds data services, implementing GenAI and AI/ML models, and supporting data-driven solutions through efficient architecture and engineering.________________________________________ Roles & Responsibilities:i.Design and develop scalable data pipelines and ETL processes using Google Cloud data services like BigQuery, Dataflow, Pub/Sub, and Dataproc.ii.Build and optimize data architectures to support AI/ML applications and model training at scale.iii.Collaborate with data scientists and ML engineers to implement data ingestion, feature engineering, and model-serving pipelines.iv.Develop and manage data integration solutions that align with enterprise data governance and security standards.v.Support GenAI/Vertex AI model deployment by ensuring reliable data access and transformation pipelines.vi.Implement monitoring, logging, and alerting for data workflows and ensure data quality across all stages.vii.Enable self-service analytics by building reusable data assets and data marts for business stakeholders.viii.Ensure cloud-native, production-grade data pipelines and participate in performance tuning and cost optimization.ix.Experience with programming languages such as Python, SQL, and optionally Java or Scala.________________________________________ Professional & Technical Skills: Must To Have Skills: Strong experience in Google Cloud Data Services (BigQuery, Dataflow, Pub/Sub) and hands-on with scalable data engineering pipelines.Good To Have Skills: GenAI/Vertex AI exposure, Cloud Data Architecture, PCA/PDE certifications.Understanding of data modeling, data warehousing, and distributed computing frameworks.Experience with AI/ML data pipelines, MLOps practices, and model deployment workflows.Familiarity with CI/CD and infrastructure-as-code tools (Terraform, Cloud Build, etc.) for data projects.________________________________________ Additional Information:The candidate should have a minimum of 5 years of experience in Google Cloud Data Engineering or related domains.The ideal candidate will possess a strong educational background in computer science, data engineering, or a related field, along with a proven track record of building and scaling data systems for AI/ML initiatives. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Security ServicesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled Google Cloud Security Architect to drive secure adoption of GCP services across enterprise workloads. The ideal candidate will have deep expertise in Google Cloud Platform (GCP), strong knowledge of Infrastructure as Code (IaC), and experience collaborating with cross-functional teams to define security policies, assess risks, and implement mitigation strategies. Roles & Responsibilities:- Conduct in-depth risk assessments and threat modeling for GCP services to identify gaps and recommend robust security controls.Provide security recommendations, guidance, and policy definitions for GCP workloads, aligning with compliance and IaC practices.Collaborate with product owners and engineering teams to design secure cloud architectures.Perform POCs and technical evaluations of a wide range of GCP services.Drive cloud security strategy and architecture for new and existing applications by working closely with product, platform, and compliance teams.Monitor changes in GCP services and industry standards to ensure ongoing compliance and security posture. Professional & Technical Skills: Strong hands-on experience with Google Cloud Platform security architecture and services.Solid understanding of network security, IAM, data protection, encryption, and logging/monitoring.Proven experience in designing secure cloud migration strategies and conducting technical risk assessments.Familiarity with Cloud-native security tools, Infrastructure as Code (Terraform), and security automation practices.Experience working with cross-functional stakeholders including product owners, developers, and cloud product team.Ability to define security standards, frameworks, and templates for scalable risk assessment. Additional Information:GCP Professional Cloud Security Engineer certification (or equivalent).Experience in regulated industries like banking or finance.Knowledge of CIS benchmarks, NIST, ISO 27001, or other regulatory frameworks.Excellent written and verbal communication skills for creating documentation and engaging with leadership.Strong aptitude for continuous learning and openness to exploring new technologies and GCP services in a fast-evolving cloud landscape. Qualification 15 years full time education

Project Role : Cloud Platform Architect Project Role Description : Oversee application architecture and deployment in cloud platform environments -- including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring. Must have skills : Google Cloud Platform Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Architect, you will oversee application architecture and deployment in cloud platform environments. A typical day involves collaborating with various teams to design and implement cloud solutions, ensuring that applications are optimized for performance and scalability. You will also engage in strategic planning for cloud adoption and management, while monitoring the effectiveness of deployed solutions to meet organizational goals. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Evaluate emerging cloud technologies and recommend improvements. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Administration.- Strong understanding of cloud architecture principles and best practices.- Experience with cloud migration strategies and tools.- Familiarity with containerization technologies such as Docker and Kubernetes.- Knowledge of security best practices in cloud environments. Additional Information:- The candidate should have minimum 5 years of experience in Google Cloud Platform Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google BigQueryMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer - AI/ML, you will be responsible for designing, building, and maintaining scalable data pipelines and systems that power AI/ML applications on Cloud platforms. Your typical day will involve leveraging Google Clouds data services, implementing GenAI and AI/ML models, and supporting data-driven solutions through efficient architecture and engineering.________________________________________ Roles & Responsibilities:i.Design and develop scalable data pipelines and ETL processes using Google Cloud data services like BigQuery, Dataflow, Pub/Sub, and Dataproc.ii.Build and optimize data architectures to support AI/ML applications and model training at scale.iii.Collaborate with data scientists and ML engineers to implement data ingestion, feature engineering, and model-serving pipelines.iv.Develop and manage data integration solutions that align with enterprise data governance and security standards.v.Support GenAI/Vertex AI model deployment by ensuring reliable data access and transformation pipelines.vi.Implement monitoring, logging, and alerting for data workflows and ensure data quality across all stages.vii.Enable self-service analytics by building reusable data assets and data marts for business stakeholders.viii.Ensure cloud-native, production-grade data pipelines and participate in performance tuning and cost optimization.ix.Experience with programming languages such as Python, SQL, and optionally Java or Scala.________________________________________ Professional & Technical Skills: Must To Have Skills: Strong experience in Google Cloud Data Services (BigQuery, Dataflow, Pub/Sub) and hands-on with scalable data engineering pipelines.Good To Have Skills: GenAI/Vertex AI exposure, Cloud Data Architecture, PCA/PDE certifications.Understanding of data modeling, data warehousing, and distributed computing frameworks.Experience with AI/ML data pipelines, MLOps practices, and model deployment workflows.Familiarity with CI/CD and infrastructure-as-code tools (Terraform, Cloud Build, etc.) for data projects.________________________________________ Additional Information:The candidate should have a minimum of 7 years of experience in Google Cloud Data Engineering or related domains.The ideal candidate will possess a strong educational background in computer science, data engineering, or a related field, along with a proven track record of building and scaling data systems for AI/ML initiatives. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Looker Data PlatformMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Google Looker Data Platform.- Strong understanding of data modeling and database design principles.- Experience with data warehousing solutions and ETL tools.- Familiarity with programming languages such as Python or Java for data manipulation. Additional Information:- The candidate should have minimum 5 years of experience in Google Cloud Platform Architecture.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google BigQueryMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer - AI/ML, you will be responsible for designing, building, and maintaining scalable data pipelines and systems that power AI/ML applications on Cloud platforms. Your typical day will involve leveraging Google Clouds data services, implementing GenAI and AI/ML models, and supporting data-driven solutions through efficient architecture and engineering.________________________________________ Roles & Responsibilities:i.Design and develop scalable data pipelines and ETL processes using Google Cloud data services like BigQuery, Dataflow, Pub/Sub, and Dataproc.ii.Build and optimize data architectures to support AI/ML applications and model training at scale.iii.Collaborate with data scientists and ML engineers to implement data ingestion, feature engineering, and model-serving pipelines.iv.Develop and manage data integration solutions that align with enterprise data governance and security standards.v.Support GenAI/Vertex AI model deployment by ensuring reliable data access and transformation pipelines.vi.Implement monitoring, logging, and alerting for data workflows and ensure data quality across all stages.vii.Enable self-service analytics by building reusable data assets and data marts for business stakeholders.viii.Ensure cloud-native, production-grade data pipelines and participate in performance tuning and cost optimization.ix.Experience with programming languages such as Python, SQL, and optionally Java or Scala.________________________________________ Professional & Technical Skills: Must To Have Skills: Strong experience in Google Cloud Data Services (BigQuery, Dataflow, Pub/Sub) and hands-on with scalable data engineering pipelines.Good To Have Skills: GenAI/Vertex AI exposure, Cloud Data Architecture, PCA/PDE certifications.Understanding of data modeling, data warehousing, and distributed computing frameworks.Experience with AI/ML data pipelines, MLOps practices, and model deployment workflows.Familiarity with CI/CD and infrastructure-as-code tools (Terraform, Cloud Build, etc.) for data projects.________________________________________ Additional Information:The candidate should have a minimum of 9 years of experience in Google Cloud Data Engineering or related domains.The ideal candidate will possess a strong educational background in computer science, data engineering, or a related field, along with a proven track record of building and scaling data systems for AI/ML initiatives. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Python (Programming Language)Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data architecture strategy, ensuring that the solutions you develop are scalable and efficient. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of data models to support business needs.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Python (Programming Language).- Strong understanding of data warehousing concepts and best practices.- Experience with data integration tools and ETL processes.- Familiarity with data governance and data quality frameworks. Additional Information:- The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title: Digital Business Partner Smart Manufacturing. Department: Technology / Digital Transformation Location: Mumbai Job Overview: We are seeking a dynamic and forward-thinking Digital Business Partner Smart Manufacturing to lead our digital transformation initiatives across the manufacturing landscape. This role is crucial in driving innovation, operational efficiency, and data-driven decision-making through the adoption of advanced digital technologies such as Industry 4.0, AI/ML, MES, and smart automation. The candidate will lead functional aspects of smart manufacturing, from strategic planning to execution, ensuring alignment with the Enterprises digital strategy and business objectives. The ideal candidate will have a strong technical background in manufacturing systems and a proven track record of successfully leading digital initiatives in industrial environments. Key Responsibilities: Digital Strategy Development: Develop and implement the organizations digitalization strategy, aligned with business goals and operational needs. Align digital transformation efforts with the Enterprise digital strategy, IT infrastructure, policies, digital architecture, and portfolio management. Technology Leadership: Identify, evaluate, and implement advanced digital technologies (e.g., Industrial IoT, digital twins, MES, SCADA, robotics, AI/ML) to optimize manufacturing processes. Smart Factory Implementation: Drive the implementation of Industry 4.0 principles including real-time data collection, predictive maintenance, machine learning analytics, and automation. Cross-Functional Collaboration: Partner with Operations, IT, Engineering, Quality, and Supply Chain to align digital initiatives with core business functions. Prepare detailed Business Requirement Documents (BRD) and Statements of Work (SOW) for various digital projects. Digital Infrastructure: Oversee the design and deployment of digital infrastructure such as data platforms, cloud services, edge computing, and cybersecurity solutions. Change Management: Lead organizational change efforts to promote a digital mindset and ensure successful adoption of new tools and processes Vendor & Partner Management: Evaluate and manage relationships with digital solution providers, system integrators, and technology consultants. Data Governance & Analytics: Establish best practices for data governance, integration, and utilization across the enterprise for operational and strategic insights. Talent Development: Build and lead a high-performing technical digitalization team, and upskill internal teams on digital tools and methodologies. Annual Operation Planning: Develop and manage the annual operations and budget planning for the digitalization roadmap, aligning with overall business goals and Enterprise Digital Portfolio. Program and Project Management: Drive end-to end project execution, ensuring timely delivery, quality and budget. Define, monitor, and analyze Key Performance Indicators (KPIs) and value realization metrics to track the impact and ROI of digital initiatives. Qualifications: Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, or related field. 10+ years of experience in manufacturing environments with at least 5 years in a digital leadership role. Deep understanding of digital manufacturing systems and processes enabling seamless data flow and operational efficiency (IIOT, Edge Gateways, SCADA, PLCs, Industrial protocols, MES, ERP, Cloud, Big Data etc.). Proven expertise in Industry 4.0 technologies, smart automation, and data analytics to optimize manufacturing processes. Skilled in engaging business partners and stakeholders to efficiently capture critical requirements and translate them into clear project charters, BRDs, FRDs, and SOWs. Strong project management, stakeholder communication, and Agile delivery skills. Experience leading digital transformation in multi-site or global manufacturing organizations is a plus. Preferred Skills: Certifications in Six Sigma, Lean Manufacturing, or PMP. Familiarity with cloud platforms (AWS, Azure), OT/IT integration, and cybersecurity standards. Knowledge of sustainability practices and how digital tools can support ESG goals.

Key Responsibilities: Design and implement scalable and efficient full-stack solutions using Java and cloud technologies. Develop and maintain cloud-based solutions on Google Cloud Platform (GCP), utilizing services like BigQuery, Astronomer, Terraform, Airflow, and Dataflow. Architect and implement complex data engineering solutions using GCP services. Collaborate with cross-functional teams to develop, deploy, and optimize cloud-based applications. Utilize Python for data engineering and automation tasks within the cloud environment. Ensure alignment with GCP architecture best practices and contribute to the design of high-performance systems. Lead and mentor junior developers, fostering a culture of learning and continuous improvement. Required Skills: Full-Stack Development (7+ years): Strong expertise in full-stack Java development with experience in building and maintaining complex web applications. Google Cloud Platform (GCP): Hands-on experience with GCP services like BigQuery, Astronomer, Terraform, Airflow, Dataflow, and GCP architecture. Python: Proficiency in Python for automation and data engineering tasks. Cloud Architecture: Solid understanding of GCP architecture principles and best practices. Strong problem-solving skills and ability to work in a dynamic, fast-paced environment. Mandatory Key Skills Python,Cloud Architecture,Java,data engineering,GCP,BigQuery,Astronomer,Terraform, Airflow*

Responsibilities: Complete SDLC: architecture, design, development, and support of tech solutions using React.js and .Net Core technologies Actively participate in all Scrum ceremonies and follow AGILE best practice effectively. Write clean, scalable, and efficient code. Troubleshoot, debug, and upgrade existing software. Produce technical design documents and conduct technical walkthroughs. Participate in code reviews to maintain code quality and share knowledge. Maintain application performance, quality, and responsiveness. Stay updated with the latest industry trends and technologies to ensure our solutions remain current and effective. What Were Looking For: 4-8 years of desktop application development experience with deep understanding of Design Patterns & Object-oriented programming. Proficient with software development lifecycle (SDLC) methodologies such as Agile and Test-driven development. Hands-on development experience using .Net Core, Kafka, and SQS Knowledge of database systems like SQL Server or PostgreSQL. Strong Service Oriented Architecture (SOA) knowledge. Familiarity with RESTful APIs and web services. Strong understanding of cloud platform architecture (Containers, Dockers, EKS etc.). Ability to resolve performance related issues through various techniques, including testing, debugging and profiling. Strong problem-solving skills and attention to detail. Experience with version control systems (e.g., Git). Excellent communication and teamwork abilities. Preferred Qualifications: Familiarity with CI/CD pipelines and DevOps practices. Familiarity with technologies like Elastic Search, GraphQL, and AI Prompting.

Position: Software Engineer / Sr. Software Engineer (.NET Core, SQL Server, OOPs) Responsibilities: Complete SDLC: architecture, design, development, and support of tech solutions using React.js and .Net Core technologies Actively participate in all Scrum ceremonies and follow AGILE best practice effectively. Write clean, scalable, and efficient code. Troubleshoot, debug, and upgrade existing software. Produce technical design documents and conduct technical walkthroughs. Participate in code reviews to maintain code quality and share knowledge. Maintain application performance, quality, and responsiveness. Stay updated with the latest industry trends and technologies to ensure our solutions remain current and effective. What Were Looking For: 4-8 years of desktop application development experience with deep understanding of Design Patterns & Object-oriented programming. Proficient with software development lifecycle (SDLC) methodologies such as Agile and Test-driven development. Hands-on development experience using .Net Core, Kafka, and SQS Knowledge of database systems like SQL Server or PostgreSQL. Strong Service Oriented Architecture (SOA) knowledge. Familiarity with RESTful APIs and web services. Strong understanding of cloud platform architecture (Containers, Dockers, EKS etc.). Ability to resolve performance related issues through various techniques, including testing, debugging and profiling. Strong problem-solving skills and attention to detail. Experience with version control systems (e.g., Git). Excellent communication and teamwork abilities.

Responsibilities: Complete SDLC: architecture, design, development, and support of tech solutions using React.js and .Net Core technologies Actively participate in all Scrum ceremonies and follow AGILE best practice effectively. Write clean, scalable, and efficient code. Troubleshoot, debug, and upgrade existing software. Produce technical design documents and conduct technical walkthroughs. Participate in code reviews to maintain code quality and share knowledge. Maintain application performance, quality, and responsiveness. Stay updated with the latest industry trends and technologies to ensure our solutions remain current and effective. What Were Looking For: 4-8 years of desktop application development experience with deep understanding of Design Patterns & Object-oriented programming. Proficient with software development lifecycle (SDLC) methodologies such as Agile and Test-driven development. Hands-on development experience using React.js, Redux, and .Net Core. Knowledge of database systems like SQL Server or PostgreSQL. Experience with front-end technologies such as HTML, CSS, and JavaScript. Strong Service Oriented Architecture (SOA) knowledge. Familiarity with RESTful APIs and web services. Strong understanding of cloud platform architecture (Containers, Dockers etc.). Ability to resolve performance related issues through various techniques, including testing, debugging and profiling. Strong problem-solving skills and attention to detail. Experience with version control systems (e.g., Git). Excellent communication and teamwork abilities. Preferred Qualifications: Familiarity with CI/CD pipelines and DevOps practices. Familiarity with technologies like Elastic Search, Kafka, GraphQL, and AI Prompting. Experience with JavaScript frameworks/libraries (e.g., Angular, Vue.js).

Technical Skills Required: ETL Concepts: Strong understanding of Extract, Transform, Load (ETL) processes. Ability to design, develop, and maintain robust ETL pipelines. Database Fundamentals: Proficiency in working with relational databases (e.g., MySQL, PostgreSQL, Oracle, or MS SQL Server). Knowledge of database design and optimization techniques. Basic Data Visualization: Ability to create simple dashboards or reports using visualization tools (e.g., Tableau, Power BI, or similar). Query Optimization: Expertise in writing efficient, optimized queries to handle large datasets. Testing and Documentation: Experience in validating data accuracy and integrity through rigorous testing. Ability to document data workflows, processes, and technical specifications clearly. Key Responsibilities: Data Engineering Tasks: Design, develop, and implement scalable data pipelines to support business needs. Ensure data quality and integrity through testing and monitoring. Optimize ETL processes for performance and reliability. Database Management: Manage and maintain databases, ensuring high availability and security. Troubleshoot database-related issues and optimize performance. Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand and deliver on data requirements. Provide support for data-related technical issues and propose solutions. Documentation and Reporting: Create and maintain comprehensive documentation for data workflows and technical processes. Develop simple reports or dashboards to visualize key metrics and trends. Learning and Adapting: Stay updated with new tools, technologies, and methodologies in data engineering. Adapt quickly to new challenges and project requirements. Additional Requirements: Strong communication skills, both written and verbal. Analytical mindset with the ability to solve complex data problems. Quick learner and willingness to adopt new tools and technologies as needed. Flexibility to work in shifts, if required. Preferred Skills (Not Mandatory): Experience with cloud platforms (e.g., AWS, Azure, or GCP). Familiarity with big data technologies such as Hadoop or Spark. Basic understanding of machine learning concepts and data science workflows. Mandatory Key Skills AWS,Azure,GCP,Advanced Python,Tableau,Power BI,Python Programming,ETL,Database Management,Query Optimization,SQL.

Google Cloud Platform o GCS, DataProc, Big Query, Data Flow Programming Languages o Java, Scripting Languages like Python, Shell Script, SQL Google Cloud Platform o GCS, DataProc, Big Query, Data Flow 5+ years of experience in IT application delivery with proven experience in agile development methodologies 1 to 2 years of experience in Google Cloud Platform (GCS, DataProc, Big Query, Composer, Data Processing like Data Flow) Mandatory Key Skills java,data flow,sql,shell scripting,agile,cloud platform,google,gen,data processing,hive,sqoop,spark,hadoop,aws,big data,javascript,ansible,docker,jenkins,linux,microsoft azure,html,git,Google Cloud Platform*

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 11+ years. Strong working experience with architecture and development in Java 8 or higher. Have worked as an architect and have hands on experience in Low level designs. Hands on working experience in Spring Boot, Spring Cloud, and related frameworks. Strong command over Object-Oriented Programming and Design Patterns (Creational, Structural, Behavioral). Extensive experience building and maintaining microservices architecture in cloud or hybrid environments. Hands-on experience with REST APIs, Caching system (e.g Redis) etc. Hands-on experience with multithreading, and cloud development. In-depth understanding of Apache Kafka, including Kafka Streams, Kafka Connect, and Kafka clients in Java. Experience with SQL and NoSQL databases such as MySQL, PostgreSQL, and MongoDB. Experience with DevOps tools and technologies such as Ansible, Docker, Kubernetes, Puppet, Jenkins, and Chef. Proven expertise in CI/CD pipelines using Azure DevOps, Jenkins, or GitLab CI/CD. Proficiency in build automation tools like Maven, Ant, and Gradle. Hands on experience on cloud technologies such as AWS/ Azure/GCP. Working knowledge of Snowflake or equivalent cloud data platforms. Understanding of predictive analytics and basic ML/NLP workflows. Strong understanding of UML and design patterns. Strong problem-solving skills and a passion for continuous improvement. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Writing and reviewing great quality code Understanding functional requirements thoroughly and analyzing the client's needs in the context of the project Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it Determining and implementing design methodologies and tool sets Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement Giving constructive feedback to the team members and setting clear expectations. Helping the team in troubleshooting and resolving of complex bugs Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken Carrying out POCs to make sure that suggested design/technologies meet the requirements