92 Data Acquisition Jobs - Page 2

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

You will be working as a Data Acquisition Specialist with a minimum of 5 years of experience in the Data Acquisition domain. Your role will involve being an expert in handling Non-CRF activities and working independently on the non-CRF data strategy. You should have a deep understanding of Data Management conventions, data standards, processes, and drug development processes. Additionally, you will be expected to have experience with Study conventions, including non-CRF collection data standards, processes, knowledge sharing, and best practices on assigned studies. Your responsibility will also include influencing the Study Team to adhere to non-CRF guidance, processes, and negotiating contingency plans to mitigate delays in deliverables. Your tasks will involve leading the collection of non-CRF data during Study Setup, Conduct, and Closeout activities IXRS and Complex Data Models. You will be required to effectively communicate non-CRF data collection deliverables, the status of work, and data issues to the assigned study team and Subject Matter Experts (SMEs). Collaboration with multiple non-CRF vendors or data providers to set up Data Transfer Agreements to ensure timely and quality delivery will also be a part of your role.,

You are a Data Acquisition Specialist with a minimum of 5 years of experience in the Data Acquisition domain. You possess expertise in handling Non-CRF activities and are capable of working independently on the non-CRF data strategy. Your role requires an in-depth understanding of Data Management conventions, data standards, Processes, and Drug development Process. You have experience with Study conventions, including non-CRF collection data standards, Processes, Knowledge sharing, and best practices on assigned studies. Your responsibility involves influencing the Study Team to adhere to non-CRF guidance, processes, and negotiating contingency plans to mitigate delays in deliverables. Your tasks include: - Leading the collection of non-CRF data during Study Setup, Conduct, and Closeout activities using IXRS and Complex Data Models. - Effectively communicating non-CRF data collection deliverables, the status of work, and data issues to the assigned study team and Subject Matter Experts (SMEs). - Collaborating with multiple non-CRF vendors or data providers to set up Data Transfer Agreements to ensure timely and quality delivery. This role requires strong communication skills, attention to detail, and the ability to work collaboratively with various stakeholders to ensure the successful collection and transfer of non-CRF data for study activities.,

Overview We are seeking a detail-oriented and proactive Associate Manager BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCos Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCos operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the teams operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent CommunicationAbility to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric ApproachStrong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & AccountabilityProactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth MindsetWillingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational ExcellenceExperience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & AutomationUnderstanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional CollaborationAbility to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Overview In this role, we are seeking a Senior Manager Offshore Program & Delivery Management to oversee program execution, governance, and service delivery across DataOps, BIOps, AIOps, MLOps, Data IntegrationOps, SRE, and Value Delivery programs. This role requires strong expertise in offshore execution, cost optimization, automation strategies, and cross-functional collaboration to drive operational excellence. Manage and execute DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Oversee real-time monitoring, automated alerting, and self-healing mechanisms to improve system reliability and performance. Develop and enforce governance models and operational frameworks to streamline service delivery and execution roadmaps. Drive standardization and automation of pipeline workflows, report generation, and dashboard refreshes to enhance efficiency. Collaborate with global teams to support Data & Analytics transformation efforts and ensure sustainable, scalable, and cost-effective operations. Support proactive issue identification and self-healing automation, enhancing the sustainment capabilities of the PepsiCo Data Estate. Responsibilities Manage and oversee offshore teams delivering DataOps, BIOps, Data IntegrationOps, FinOps, AIOps, MLOps, and SRE initiatives to drive operational excellence. Implement governance frameworks, define KPIs, and establish operational SLAs to ensure efficiency and quality in offshore execution. Drive process standardization, cost optimization, and automation adoption to enhance service scalability and effectiveness. Collaborate with onshore teams, business leaders, and stakeholders to ensure seamless execution and alignment of offshore deliverables with business goals. Optimize resource utilization by leveraging automation and AI-driven insights to improve productivity and streamline operations. Ensure continuous improvement, risk mitigation, and compliance adherence across offshore programs to maintain operational integrity. Act as a key liaison between IT, business leaders, data stewards, and compliance teams to ensure alignment with regulatory and security requirements. Monitor and enhance end-to-end Data Operations and sustainment processes, including testing, monitoring, and support for global data products. Manage day-to-day DataOps activities, ensuring adherence to SLAs, incident resolution, and engaging with SMEs to meet business demands. Contribute to work intake and Agile management processes, supporting data platform teams in executing strategic initiatives effectively. Foster strong relationships with senior stakeholders and executives, ensuring transparency, proactive risk assessment, and continuous communication. Collaborate across teams to address cloud infrastructure and data service challenges, ensuring high system availability and performance. Develop and automate operational policies and crisis management functions to minimize downtime and enhance incident response. Champion a customer-obsessed culture, advocating for high-quality service delivery and continuous process enhancements. Build and develop a high-performing team, fostering a diverse and agile work environment that aligns with business objectives. Adapt quickly to changing priorities, ensuring teams remain productive and focused on key deliverables. Leverage cloud and high-performance computing expertise to establish trust, drive innovation, and enhance the overall customer experience. Qualifications 12+ years of technology experience in a large-scale global organization, preferably in the CPG industry. 8+ years of experience in Data & Analytics, with a strong understanding of data engineering, data management, and operations. 7+ years of cross-functional IT experience, collaborating across multiple teams and stakeholders. 5+ years of leadership/management experience, overseeing teams and driving operational excellence. Excellent communication skills, with the ability to empathize with stakeholders and explain technical issues to varied audiences. Strong customer focus, advocating for end-user needs and delivering high-quality experiences. Proactive problem-solving mindset, taking ownership of issues and driving resolution. Ability to learn and adapt in a fast-paced environment, staying up to date with emerging technologies and methodologies. Experience in technical support and operations for mission-critical solutions in a Microsoft Azure environment. Familiarity with Site Reliability Engineering (SRE) principles, including automated issue resolution and scalability improvements. Proven ability to drive operational excellence, ensuring stability and performance in complex enterprise environments. Experience managing large-scale operational services in dynamic and evolving technology landscapes. Strategic thinking capabilities, focusing on cost efficiency, operational effectiveness, and delivery speed. Ability to develop and execute strategic plans, aligning technology roadmaps with business objectives. Strong relationship-building skills, fostering trust and collaboration across IT and business functions. Proven ability to align business and IT priorities, identifying mutually beneficial solutions. Experience leading cross-functional and virtual teams, effectively communicating vision and objectives. Demonstrated success in delivering high-impact results in complex and transformational projects. Experience with multi-country/global implementations, particularly involving data and analytics. Understanding of master data management, data governance, and analytics frameworks. Knowledge of data acquisition, data cataloging, and data management tools. Strong influencing and negotiation skills, with the ability to engage and persuade stakeholders at all levels.

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent CommunicationAbility to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric ApproachStrong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & AccountabilityProactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth MindsetWillingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational ExcellenceExperience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & AutomationUnderstanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional CollaborationAbility to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Overview Seeking a Manager, Data Operations, to support our growing data organization. In this role, you will play a key role in maintaining data pipelines and corresponding platforms (on-prem and cloud) while collaborating with global teams on DataOps initiatives. Manage the day-to-day operations of data pipelines, ensuring governance, reliability, and performance optimization on Microsoft Azure. This role requires hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, real-time streaming architectures, and DataOps methodologies. Ensure availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Support DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Contribute to the development of governance models and execution roadmaps to optimize efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to enhance enterprise-wide data operations. Collaborate on building and supporting next-generation Data & Analytics platforms while fostering an agile and high-performing DataOps team. Support the adoption of Data & Analytics technology transformations, ensuring full sustainment capabilities and automation for proactive issue identification and resolution. Partner with cross-functional teams to drive process improvements, best practices, and operational excellence within DataOps. Responsibilities Support the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Assist in managing end-to-end data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Ensure seamless batch, real-time, and streaming data processing while focusing on high availability and fault tolerance. Contribute to DataOps automation initiatives, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps, Terraform, and Infrastructure-as-Code (IaC). Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to enable data-driven decision-making. Work with IT, data stewards, and compliance teams to align DataOps practices with regulatory and security requirements. Support data operations and sustainment efforts, including testing and monitoring processes to support global products and projects. Assist in data capture, storage, integration, governance, and analytics initiatives, collaborating with cross-functional teams. Manage day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to align data platform capabilities with business needs. Participate in the Agile work intake and management process to support execution excellence for data platform teams. Collaborate with cross-functional teams to troubleshoot and resolve issues related to cloud infrastructure and data services. Assist in developing and automating operational policies and procedures to improve efficiency and service resilience. Support incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric environment, advocating for operational excellence and continuous service improvements. Contribute to building a collaborative, high-performing team culture focused on automation and efficiency in DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity while meeting business goals. Leverage technical expertise in cloud and data operations to improve service reliability and scalability. Qualifications 12+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 12+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 8+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. 5+ years of experience in a management or lead role, with a focus on DataOps execution and delivery. Hands-on experience with Azure Data Factory (ADF) for orchestrating data pipelines and ETL workflows. Proficiency in Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Database. Familiarity with Azure Databricks for large-scale data processing (basic troubleshooting or support scope is sufficient if not engineering-focused). Exposure to cloud environments (AWS, Azure, GCP) and understanding of CI/CD pipelines for data operations. Knowledge of structured and semi-structured data storage formats (e.g., Parquet, JSON, Delta). Excellent communication skills, with the ability to empathize with stakeholders and articulate technical concepts to non-technical audiences. Strong problem-solving abilities, prioritizing customer needs and advocating for operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational excellence. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience in supporting mission-critical solutions in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) practices, such as automated issue remediation and scalability improvements. Experience driving operational excellence in complex, high-availability data environments. Ability to collaborate across teams, fostering strong relationships with business and IT stakeholders. Experience in data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong analytical and strategic thinking skills, with the ability to execute plans effectively and drive results. Proven ability to work in a fast-changing, complex environment, adapting to shifting priorities while maintaining productivity.

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent CommunicationAbility to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric ApproachStrong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & AccountabilityProactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth MindsetWillingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational ExcellenceExperience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & AutomationUnderstanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional CollaborationAbility to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent CommunicationAbility to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric ApproachStrong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & AccountabilityProactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth MindsetWillingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational ExcellenceExperience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & AutomationUnderstanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional CollaborationAbility to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Job Description Position Overview We are seeking an experienced Senior PLC Programmer todesign, develop, and maintain advanced control systems for automated industrialprocesses. The ideal candidate will have a proven track record in PLCprogramming, system integration, and troubleshooting across diverse industrialenvironments. This role requires hands-on expertise with major PLC platforms,strong project management skills, and the ability to collaborate withcross-functional teams to deliver robust automation solutions Key Responsibilities Design, program, test, and commission PLC-based control systems for industrial automation projects Develop and modify PLC programs using languages such as Ladder Logic, Structured Text, Function Block Diagram, and Sequential Function Chart Integrate PLCs with HMI (Human-Machine Interface) and SCADA (Supervisory Control and Data Acquisition) systems to enable efficient process monitoring and control Analyse project requirements, interpret electrical schematics, and collaborate with engineers and technicians to deliver tailored automation solutions Troubleshoot, debug, and optimize PLC programs to ensure reliability, safety, and efficiency of automated systems Oversee project timelines, coordinate resources, and provide technical guidance to junior programmers or technicians Maintain comprehensive documentation of programming changes, system configurations, and project deliverables Stay updated on emerging technologies and best practices in industrial automation and PLC programming Ensure all work adheres to relevant safety standards and industry regulations Required Qualifications Bachelors degree in electrical engineering/Automation, Computer Engineering Minimum 6 years of hands-on experience in PLC programming, commissioning, and maintenance of automated systems in industrial settings Proficiency with major PLC platforms (e.g., Siemens, Allen-Bradley/Rockwell, Schneider Electric) and associated programming environments (e.g., TIA Portal, RS Logix) Strong understanding of industrial networking protocols (e.g., Ethernet/IP, Modbus) and integration with HMI/SCADA systems In-depth knowledge of electrical circuits, control systems, and industrial instrumentation Demonstrated experience in project management, including planning, resource coordination, and meeting deadlines Excellent problem-solving, troubleshooting, and analytical skills Strong verbal and written communication skills for effective collaboration and documentation Preferred Skills Experience with software development in C/C++, Python, or Java for advanced automation and system integration tasks Familiarity with AutoCAD or similar software for creating and interpreting electrical schematics Prior experience in manufacturing, process industries, or similar industrial environments Ability to mentor and provide technical leadership to junior staff

We are seeking a skilled Instrumentation Engineer with 3-8 years of experience to join our team in India. The ideal candidate will be responsible for designing, developing, and maintaining instrumentation systems that enhance our industrial processes. Responsibilities Design, develop and maintain instrumentation systems and controls for various industrial processes. Conduct tests and analyze data to ensure systems are functioning optimally. Collaborate with cross-functional teams to implement new technology and improve existing systems. Provide technical support and troubleshooting for instrumentation issues during operations. Prepare documentation and reports related to instrumentation projects and systems. Skills and Qualifications Bachelor's degree in Instrumentation Engineering, Electronics Engineering, or a related field. Proficient in using instrumentation software tools such as MATLAB, LabVIEW, or similar. Strong understanding of control systems, PLC programming, and SCADA systems. Experience with calibration and maintenance of various types of sensors and instruments. Familiarity with industry standards and regulations related to instrumentation and safety. Excellent analytical and problem-solving skills, with attention to detail.

ESSENTIAL DUTIES AND RESPONSIBILITIES P&ID Interpret Contract Documents and be proficient in Identifying equipment requirements within our scope and have a general understanding of the overall process. Develop the I/O list based on contract P&IDs utilizing the I/O template. Capable of developing/updating the P&IDs for submittal purpose based on inputs received in form of mark-ups from the process engineer, the Contract Documents and/or client requirements. Field Instrumentation Makes field instrumentation selections based on the following: (a) what was quoted in our scope letter, (b) the requirements as defined in the Contract Documents, (c) any standardized products currently in use at the target facility, and (d) the project budget . Interprets the Contract Documents as well as utilizes site-data in collaboration with the domestic project/site engineer to determine installation requirements and appropriate mounting hardware, sunshields, surge protection, etc. Generates a Field Instrumentation Submittal based on the company template. Typical documents within the submittal will include an instrument bill of material, instrument data sheet, instrument tags as appropriate and completed ISA Device Specification form. Submittal will be for review and approval by the Engineer or Owner of the project. Responds to submittal customer comments. Panel Design (must) Designs panel hardware drawings for control and network panels based on the following: (a) what was quoted in our scope letter, (b) the requirements as defined in the Contract Documents, (c) any standardized products currently in use at the facility, and (d) the project budget . Interprets the Contract Documents to determine installation requirements (e.g., panel sizing, interior versus exterior location, etc...). Develops hardwired IO list using standard templates. Initiates the development of the control narrative using standard templates. Panel design shall consist of a bill of materials consisting of “major buyout” items (e.g., enclosure, PLC hardware, network hardware) and the IO list. Coordinates and manages the efforts of drafting group to efficiently generate CAD drawings. Generates a Panel Hardware Submittal for review and approval by Engineer and Owner on project. Responds to submittal comments. Good understanding of Compliance to UL508A Loop Drawings Designs loop drawings per the requirements of the Contract Documents. Coordinates and manages the efforts of drafting group to efficiently generate drawings using AutoCAD-Electrical (ACADE) . Generates a Loop Drawings Submittal for review and approval by Engineer and Owner on project. Responds to submittal customer comments. Camera & Security Subsystem Design As applicable, selects camera and security system hardware (e.g. card readers, fence monitors) and software based on the following: (a) what was quoted in our scope letter, (b) the requirements as defined in the Contract Documents, (c) any standardized products currently in use at the facility, and (d) the project budget. Interprets the Contract Documents to determine installation requirements. Generates a Camera & Security Subsystem Submittal for review and approval by Engineer and Owner on project. Responds to submittal customer comments. Network Design Works with IT/OT personnel, design SCADA/PLC control systems networks based on the following: (a) networking best practices, (b) what was quoted in our scope letter and (c) the requirements as defined in the Contract Documents. Selects copper and fiber cabling and network hardware based on the above criteria plus (a) any standardized products currently in use at the facility and (b) the project budget. Generates detailed network diagrams showing all network hardware (servers, PLCs, workstations, switches, firewalls, radios, etc...) and all applicable communications paths and protocols (fiber, Ethernet, serial, radio, etc...). Working with IT/OT personnel and HMI technical leads, aids in selecting SCADA and networking software. Incorporates third-party equipment and systems into network diagrams, recognizing incompatibilities between core network architecture and third-party networks. Generates Fiber, Network and SCADA Hardware/Software submittals (as appropriate for the project) for review and approval by Engineer and Owner on project. Responds to submittal customer comments. Other Documents (Design & Testing) Initiates the development of the Control Narrative Submittal based on interpreting the Functional Description presented within the Contract Documents and our IO list. Will coordinate with the PLC team to complete the Control Narrative. Responsible for coordinating with the PLC team to develop the Factory Acceptance and Site Acceptance Test Procedures utilizing the approved Control Narrative Submittal and referencing our IO list. Record Documents Upon completion of startup activities, supervises the creation of “As-Installed” documentation for Panel Drawings, Loop Drawings and Network Diagrams. Coordinate with startup team to populate information gathered during startup (e.g., field terminal numbers). Perform final quality control of the documentation. Leads the effort to develop Operations & Maintenance (O&M) Manuals by aggregating ISA datasheets generated during the Design document phase and manufacturers’ standard manuals/instructions. Submits for review and approval; responds to comments generated by the Engineer and Owner. Demonstrates proficiency in understanding both water treatment and wastewater treatment processes. Provides clear and accurate information regarding hardware to be ordered to Purchasing/Admin resource charged with generating and issuing purchase orders. Provides assistance and solutions in the form of request-for-information (RFI) document if substitutions or alternatives become necessary due to unavailability, lead times or cost., and seek customer agreement to make necessary deviations with respect to contract documents. Provides support and assistance to project team members from kickoff through startup and closeout. Receives, interprets, and incorporates the design of third-party hardware and systems into our designs. Must be familiar with Underwriters Laboratories ( UL ) and National Electrical Code ( NEC ) standards to apply these requirements to project design efforts. Specify standards Has the ability to effectively make minor AutoCAD modifications to drawings packages utilizing ACADE software. However, this role is NOT a drafting position. It shall be expected that all designs be drafted by a draftsperson with the Project Engineer managing that person’s efforts. Have familiarity with PLC and HMI/SCADA hardware and software and programming products to understand the basic concepts and technical aspects of PLC and SCADA development. This will facilitate hardware design. Provides technical support to Sales and Marketing group, aiding as needed with technical consultation, sales quotations, and quotation review. QUALIFICATIONS/REQUIREMENTS Bachelor’s degree in Electrical Engineering / Instrumentation is preferred with at least 10 years of relevant Experience with field instrumentation hardware, control panel design and hardware and networking design and hardware. Excellent technical writing and verbal communication skills. Microsoft Office Ability to mark up drawings using a PDF editor such as Bluebeam. Knowledge of AutoCAD-Electrical enabling the Project Engineer to provide a secondary review of the drawing package aesthetics. PHYSICAL DEMANDS Ability to orally communicate effectively with customers, management, and other co-workers. Regular use of the telephone and e-mail for communication. Sitting for extended periods is common. Hearing and vision within normal ranges is essential for normal conversations, to receive ordinary information and to prepare or inspect documents. No heavy lifting is expected. Good manual dexterity for the use of common office equipment such as computer terminals, printers, scanners, and copiers. WORK ENVIRONMENT This position is office based. TRAVEL Typically, travel is not expected, however, a request may be submitted to visit a project site, attend a meeting, or meet with the customer and may demand overseas travel for short-term, if necessary.

You are a Data Acquisition Specialist with a minimum of 5 years of experience in the Data Acquisition domain. You possess expertise in handling Non-CRF activities and can work independently on the non-CRF data strategy. Your role requires an in-depth understanding of Data Management conventions, data standards, processes, and Drug development processes. Additionally, you have experience with Study conventions, including non-CRF collection data standards, processes, knowledge sharing, and best practices on assigned studies. Your responsibility includes influencing the Study Team to adhere to non-CRF guidance, processes, and negotiating contingency plans to mitigate delays in deliverables. Your tasks involve leading the collection of non-CRF data during Study Setup, Conduct, and Closeout activities using IXRS and Complex Data Models. You are expected to effectively communicate non-CRF data collection deliverables, work status, and data issues to the assigned study team and Subject Matter Experts (SMEs). Collaboration with multiple non-CRF vendors or data providers is crucial to set up Data Transfer Agreements to ensure timely and quality delivery of data.,

We are looking for a talented Sensor Development Engineer who possesses expertise in electrochemical techniques and materials science. The ideal candidate will have a strong background in sensor calibration, microfabrication, and data analysis. Your responsibilities will include the development and optimization of sensors, troubleshooting performance issues, and ensuring compliance with laboratory safety protocols. Key Requirements: - Proficiency in electrochemical techniques such as cyclic voltammetry and EIS - Knowledge of nanomaterials and conductive polymers - Hands-on experience with microfabrication processes like screen printing and photolithography - Expertise in analytical chemistry - Ability to acquire and analyze data using tools like Origin, MATLAB, or LabVIEW - Strong skills in documentation and problem-solving If you meet these qualifications and are excited about the opportunity to work in sensor development, please send your resume to khushal.bansode32084@paruluniversity.ac.in within the next 7 days. We look forward to hearing from you.,

Experience: 2 to 3 Years Location: Bangalore Job Type: Full-time Department: Electrical Job Summary: We are seeking a motivated and detail-oriented LabVIEW Developer with strong working knowledge of SQL databases to design, develop, and maintain automated test and control systems. The role involves building data acquisition applications, integrating test hardware, and managing backend data using SQL for storage, analysis, and reporting. Key Responsibilities: Design and develop custom LabVIEW applications for data acquisition, process control, and test automation. Interface LabVIEW programs with various instruments and hardware systems using protocols like RS232, Modbus, GPIB, or TCP/IP. Integrate and manage SQL databases for storing and retrieving test and measurement data. Develop SQL queries, procedures, and reports to support production and R&D analysis. Implement robust data logging and system diagnostics through database integration. Maintain clear documentation for all developed systems including user manuals and code annotations. Collaborate with cross-functional teams including hardware, firmware, and QA for system integration. Follow software development best practices including modular programming, version control, and code reviews. Required Skills and Qualifications: Bachelors degree in Electronics, Instrumentation, Electrical, Computer Science, or a related field. 2 to 3 years of hands-on experience in LabVIEW application development. Proficient in SQL with experience in creating databases, writing queries, and handling data relationships. Experience with NI hardware such as DAQ, PXI, cRIO, or CompactDAQ systems. Good understanding of relational database concepts and integration of LabVIEW with SQL (via LabVIEW Database Connectivity Toolkit or custom scripting). Familiarity with LabVIEW development best practices, NI style guidelines, and error handling techniques. Strong debugging and troubleshooting skills. Preferred Qualifications: Experience with NI TestStand or other test automation frameworks. Familiarity with version control tools (Git, SVN, etc.). Knowledge of other programming languages like Python or C# is a plus. Experience in manufacturing or R&D environments is advantageous. CTC: As per company norms / Based on experience

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. Data Acquisition Specialist Min 5 + yrs of experience in Data Acquisition domain. Expertise in Handling Non-CRF activities, able to work autonomously on the non-CRF data strategy. In-depth understanding of Data Management conventions, data standards, Processes and Drug development Process. Experience with Study convention including non-CRF collection data standards, Processes, Knowledge sharing and best practices on assigned studies. Influence Study Team to adhere non-CRF guidance, processes and negotiate contingency plans to mitigate delays of deliverables. Task: Lead collection of non-CRF data during Study Setup, Conduct and Closeout activities IXRS and Complex Data Models. Effectively communicate non-CRF data collection deliverable, Status of work and Data issues to the assigned study team and SME’s. Collaborate with multiple non-CRF vendors or data providers to setup Data Transfer Agreement to ensure timely and quality delivery.

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. Data Acquisition Specialist Min 2 + yrs of experience in Data Acquisition domain. Expertise in Handling Non-CRF activities, able to work autonomously on the non-CRF data strategy. In-depth understanding of Data Management conventions, data standards, Processes and Drug development Process. Experience with Study convention including non-CRF collection data standards, Processes, Knowledge sharing and best practices on assigned studies. Influence Study Team to adhere non-CRF guidance, processes and negotiate contingency plans to mitigate delays of deliverables. Task: Lead collection of non-CRF data during Study Setup, Conduct and Closeout activities IXRS and Complex Data Models. Effectively communicate non-CRF data collection deliverable, Status of work and Data issues to the assigned study team and SME’s. Collaborate with multiple non-CRF vendors or data providers to setup Data Transfer Agreement to ensure timely and quality delivery.

Automationand Control Systems Expertise : Program development, troubleshooting, and maintenance for PLC (Programmable Logic Controller) and SCADA (Supervisory Control and Data Acquisition) systems. Knowledge in 21 CFR Part 11 compliance and troubleshooting using SQL and Zenon software for regulatory and data integrity needs. Process and Equipment Knowledge : In-depth process and instrumentation understanding of critical equipment such as isolators, vial filling machines, autoclaves, and robotic powder filling machines. Field instrument troubleshooting and maintenance, ensuring operational reliability. Qualityand Compliance : Proficient in Quality Management Systems (QMS) and Computer System Validation (CSV). Familiarity with Total Productive Maintenance (TPM) concepts to support efficient, high-quality production processes. MaintenanceManagement : Ensuring availability and maintenance of critical spare parts for equipment on-site. Developing and executing preventive maintenance schedules for all plant equipment. Quick response to equipment breakdowns to minimize downtime and ensure production continuity. SafetyandOperational Excellence: Adherence to and enforcement of safety rules and regulations across plant operations. Ensuring smooth, continuous operation of all machinery and equipment within the facility.

Performs routine and repetitive tests, set-ups, and calibrations in support of Instrumentation Engineering activities. Key Responsibilities: Perform routine and repetitive tests, set-ups, and calibrations. Install terminals, fabricate, and assemble electronic systems and test cells. Construct and install test cell harnesses. Fabricate test rigs and fixtures. Complete minor mechanical system assembly. Install, calibrate, troubleshoot, and repair gauges, transducers, heat exchangers, cooling systems, smoke meters, fuel systems measurement, and oil consumption test rigs. Operate less complex data acquisition systems as directed. Use general tools including digital multimeter, soldering iron, function generator, and frequency generator. Read and interpret electrical wiring diagrams. Execute written test plans and report on test results in a specified format. Interface with customers, suppliers, engineers, and other functions. Participate in the maintenance of quality procedures. Participate in improvement projects. Participate in self and team audits and associated corrective actions. Perform other duties as required. External Qualifications and Competencies Qualifications: Education, Licenses, Certifications: High school diploma, certificate of completion of secondary education, or equivalent experience in an appropriate STEM field is required. Regionally applicable certification or two-year Associates Degree from an accredited college or university in a relevant field of study may be required. This position may require licensing for compliance with export controls or sanctions regulations. Competencies: Data Acquisition: Prepares samples, verifies equipment calibration, and performs tests according to an approved standard procedure or work instruction. Data Reporting: Prepares documentation that clearly organizes and presents testing methods, instrument settings, data, and analysis. Product Function Test System Design: Interprets test equipment specifications and integrates appropriate equipment, instrumentation, and software. Test Article Build: Assembles test articles according to test requirements. Test Setup and Configuration: Interprets test plan to determine optimal location and orientation within a test space. Action oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Communicates effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Decision quality: Making good and timely decisions that keep the organization moving forward. Drives results: Consistently achieving results, even under tough circumstances. Manages complexity: Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. Health and Safety Fundamentals: Champions and models proactive health and safety behaviors. Preventative and Predictive Maintenance: Interprets machine and tool maintenance records and data to develop and execute preventative and predictive management strategies. Values differences: Recognizing the value that different perspectives and cultures bring to an organization. Additional Responsibilities Unique to this Position Experience: Requires some work experience and intermediate level knowledge obtained through education, training, or on-the-job experience. Knowledge/Skills: Cost reduction projects and effective spares management. Capability developments to handle the CFT and customer requirements. Good cooperation towards leaves and managing weekend supports. Knowledge in PUMA level-3 & 4, IGEM issues handling, parameterization, IGEM report dealings, depth concerto, advance in PUMA cycle preparations, and various logics defined in the cycle. Downtime tracking with closed-loop communication.

Material Development & Prototyping Project Leadership Acoustic Testing & Analysis Data Management & Reporting OEM Compliance & Validation Food allowance Provident fund Annual bonus

Design, develop, and deploy IoT solutions integrating sensors, devices, and cloud platforms Work with communication protocols like MQTT, CoAP, Zigbee, LoRa, and BLE Develop firmware and software for edge devices using languages like C/C++, Python, or embedded Linux Integrate IoT systems with cloud services (e.g., AWS IoT, Azure IoT Hub, Google Cloud IoT) Ensure data acquisition, processing, and secure transmission from devices to backend systems Perform testing, troubleshooting, and performance optimization of IoT devices and networks Collaborate with cross-functional teams (hardware, software, cloud) to deliver end-to-end IoT solutions Maintain documentation and support continuous improvement of IoT architectures

Responsibilities Gathering the requirements from business experts, analysing, designing, and developing reports using Power BI, and demonstrating valuable insights. Processing, cleansing, and verifying the integrity of data used for analyses Developing insightful and interactive business intelligence reports and dashboards Skills and Qualifications Must have: At least 2 years of experience developing Power BI dashboards Experience in publishing dashboards and reports to external customers Proficiency with data analysis using DAX queries including Time Intelligence functions Experience in Power BI administration and security Experience in integrating Power BI reports into web applications using Power BI Service. Experience in conceptualizing, templating, and transforming traditional reports to analytical dashboards as part of the digital transformation process Expertise in performing in-depth data analysis using Microsoft Excel and its advanced functions Degree in Computer Science, Mathematics, Statistics, or other related technical fields with equivalent practical experience. Excellent English verbal and written communication skills. Nice to have: Experience in data acquisition, performing data transformations, data aggregations using SQL, Python. Familiarity with Microsoft Azure services and tools is a plus

We are looking for a highly skilled and experienced professional to join our team as an RSO Nuclear Medicine specialist at Vijaya Diagnostic Centre. The ideal candidate will have a strong background in healthcare, particularly in nuclear medicine, with 15-16 years of experience. Roles and Responsibility Conduct complex nuclear medicine procedures, including patient preparation, administration of radiopharmaceuticals, and data acquisition. Interpret imaging results, identify abnormalities, and provide accurate diagnoses. Develop and implement effective treatment plans for patients with various medical conditions. Collaborate with other healthcare professionals to ensure comprehensive patient care. Stay updated with the latest advancements in nuclear medicine technology and techniques. Participate in quality improvement initiatives to enhance patient safety and satisfaction. Job Requirements Strong knowledge of nuclear medicine principles, practices, and protocols. Excellent communication and interpersonal skills are required for interacting with patients, families, and healthcare teams. Ability to work effectively in a fast-paced environment with multiple priorities. Strong analytical and problem-solving skills are needed for interpreting complex data. Commitment to delivering high-quality patient care and maintaining confidentiality. Familiarity with hospital policies and procedures related to patient safety and radiation exposure.

Job Responsibilities 1. PLC Programming and Development: o Design, develop, and implement PLC programs using ladder logic, structured text, or other programming languages. o Configure PLC hardware, including selection of PLC models, I/O modules, and communication protocols. o Integrate PLC systems with HMIs (Human-Machine Interfaces), SCADA (Supervisory Control and Data Acquisition) systems, and other control devices. 2. System Integration and Testing: o Conduct system integration tests to verify functionality and performance of PLC-based control systems. o Troubleshoot and debug PLC programs, electrical wiring, and communication issues. o Collaborate with electrical engineers, mechanical engineers, and automation technicians to ensure seamless integration of control systems. 3. Commissioning and Startup: o Participate in onsite commissioning and startup activities for PLC- controlled equipment and systems. o Perform functional testing, system optimization, and fine-tuning of control algorithms. o Provide technical support during the initial production phase and customer acceptance testing. 4. Documentation and Reporting: o Create and maintain technical documentation such as PLC program manuals, wiring diagrams, and system specifications. o Generate commissioning reports, test procedures, and project documentation. o Update as-built drawings and documentation to reflect changes and modifications. 5. Project Management and Collaboration: o Collaborate with project managers to define project scope, schedule,and deliverables related to PLC programming. o Coordinate with vendors, contractors, and stakeholders to ensure project milestones are achieved. o Communicate project status, issues, and risks to project stakeholders in a clear and concise manner.