56 Data Acquisition Jobs - Page 2

We are seeking a highly skilled Instrumentation Engineer with bachelor's degree in Electrical Engineering, Instrumentation Engineering, or a related field. The ideal candidate will have expertise in hydraulic/pneumatic servo systems, proportional valves maintenance, electrical systems, data acquisition, and PLC control. Proficiency in LabVIEW and MATLAB programming, along with experience using NI cards for data acquisition and control, is required. Knowledge in C, C++, and Microcontroller programming are highly appreciated. The candidate should have Responsibilities: Design, develop, and maintain hydraulic/pneumatic servo systems and proportional valves. Perform maintenance and troubleshooting of electrical systems and instrumentation. Implement and manage data acquisition systems using NI cards. Develop and optimize control algorithms using LabVIEW and MATLAB. Ensure proper functioning and calibration of PLC systems. Collaborate with cross-functional teams to integrate instrumentation systems. Conduct periodic maintenance and calibration of instrumentation. Troubleshoot and resolve issues related to instrumentation and control systems. Ensure compliance with safety regulations and quality standards

Data Acquisition & Web Application Developer Experience: 3 - 6 Years Exp Salary : USD 1,851-2,962 / month Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : APIS, data acquisition, Web scraping, Agile, Python Good to have skills : Analytics, Monitoring, stream processing, Web application deployment, Node Js GPRO Ltd (One of Uplers' Clients) is Looking for: Data Acquisition & Web Application Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Title: Data Acquisition & Web Application Developer About the Project: We are seeking a skilled full-stack developer to build a specialised web application designed to aggregate and present public information on individuals, such as company executives and leaders. This tool will serve as a comprehensive profile generator, pulling data from diverse online sources including news outlets, social media and other platforms. The primary goal is to provide users with a centralised, easily navigable view of a person's online presence, latest news and public information. Project Overview: The core of this project involves developing a robust data acquisition layer capable of scraping and integrating information from various online sources. This data will then be presented through a user-friendly web interface. The application should allow users to input a person's name and receive an aggregated view of relevant public data. Key Responsibilities: Develop and Implement Data Acquisition Layer: Design and build systems to scrape and collect data from specified sources, including news websites (e.g., Bloomberg.com, Reuters, BBC.com, Financial Times), social media (e.g., X, LinkedIn), and media platforms (e.g., YouTube, podcasts). Integrate with APIs: Utilize official APIs (e.g., Bloomberg data, Reuters, FinancialTimes, Google Finance) where available and prioritized. Evaluate and integrate with third-party scraping APIs (e.g., Apify, Oxylabs, SerpApi) as necessary, considering associated risks and subscription models. Handle Hybrid Approach: Implement a strategy that leverages licensed APIs for premium sources while potentially using third-party scrapers for others, being mindful of terms of service and legal/ethical considerations. Direct scraping of highly protected sites like Bloomberg, Reuters, and FT should be avoided or approached with extreme caution using third-party services. Design Data Storage and Indexing: Determine appropriate data storage solutions, considering the volume of data and its relevance over time. Implement indexing and caching mechanisms to ensure efficient search and retrieval of information, supporting near real-time data presentation. Develop Web Application Front-End: Build a basic, functional front-end interface similar to the provided examples ("Opening Screen," "Person profile"). This includes displaying the aggregated information clearly. Implement User Functionality: Enable users to: Input a person's name for searching. Sort displayed outputs by date. Click through links to access the original source of information. Navigate to a new search easily (e.g., via a tab). Consider Stream Processing: Evaluate and potentially implement stream processing techniques for handling near real-time data acquisition and updates. ¢ Ensure Scalability: Design the application to support a specified level of concurrent searches (estimated at 200 for the initial phase). ¢ Build Business Informational Layer: Develop a component that tracks the usage of different data services (APIs, scrapers) for monitoring costs and informing future scaling decisions. ¢ Technical Documentation: Provide clear documentation for the developed system, including data flows, API integrations, and deployment notes. Required Skills and Experience: ¢ Proven experience in web scraping and data acquisition from diverse online sources. ¢ Strong proficiency in developing with APIs, including handling different authentication methods and data formats. ¢ Experience with relevant programming languages and frameworks for web development and data processing (e.g., Python, Node.js, etc.). ¢ Knowledge of database design and data storage solutions. ¢ Familiarity with indexing and caching strategies for search applications. ¢ Understanding of potential challenges in web scraping (e.g., anti-scraping measures, terms of service). ¢ Experience in building basic web application front-ends. ¢ Ability to consider scalability and performance in system design. ¢ Strong problem-solving skills and ability to work independently or as part of a small team. ¢ Experience working with foreign (western based) startups and clients. Ability to work in agile environments and ability to pivot fast. Desirable Skills: ¢ Experience with stream processing technologies. ¢ Familiarity with deploying and managing web applications (though infrastructure design is flexible). ¢ Experience with monitoring and analytics for application usage. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: A web app aggregating real-time info on individuals for financial services professionals About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

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 Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability 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.

Associate Manager, D&AI BIOps (Business Intelligence Operations) Agro & Sustainability 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 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

Associate Manager, D&AI BIOps (Business Intelligence Operations) North America 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 Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability 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.

https://quintessential.keka.com/careers/

Skills : Experience in HIL design, development, and commissioning (dSPACE or NI), Test Automation, System Testing ADAS, Body, or EV domain Required Candidate profile Notice Period: 0-90 days Domain: Automotive domain (mandatory) EducationB.E, B.Tech, MCA, M.E, M.Tech/M.Sc( Elec)

Summary: PlanSource is a high-growth software company headquartered in Orlando, Florida (US) with offices in Salt Lake City (US) and Bengaluru (Bangalore), India.Our software has helped the various stakeholders in the Benefits Administration space in managing how benefits are bought, sold, managed, and consumed, and continues to transform the industry with innovative solutions. 7.5 million consumers receive their benefits through the PlanSource platform, which provides flexible and intuitive software and services for benefits administration. About the Senior Machine Learning Engineer Position We are seeking a highly skilled and motivated Data Scientist specializing in Generative AI to join our team. This is a highly visible role that will be responsible for supporting new AI initiatives, solutions and implementation on our existing BenAdmin Platform.The ideal candidate should possess in-depth knowledge of OpenAI, Lang Chain and Open LLM frameworks and be proficient in creating AI models and documents to Vectors etc. The ML/AI responsibility includes sourcing and training data that is accurate and reliable, and models are well-trained and reliably deployed. They must be self-motivated and comfortable supporting the needs of multiple teams, systems, and products. Responsibilities include (Not limited to): Architect AI/ML systems as well as integrating AI/ML features into business apps Solution and execute end-to-end Generative AI projects with Open AI, GPT-4, Llama-2 etc Develop end-to-end NLP Deep models Assist in Conversational AI, Information retrieval, Knowledge Management Research and implement appropriate ML algorithms and tools Build and manage Supervised and Unsupervised ML algorithms Select appropriate datasets and data representation methods Perform statistical analysis and fine-tuning using test results Utilise AWS Lambda, EC2 Services to build solution and Provide code deployments Communicate architecture decisions effectively to multiple stakeholders including presenting to client Architecture Review Boards (ARBs). About You: As a Senior Machine Learning Engineer , you will possess the following essential strengths, skills, and competencies: Educational Background : Bachelors degree in statistics, mathematics, engineering, computer science, or a related quantitative discipline. Experience : 6+ years in data acquisition, data mining, data transformation, cleaning structured/unstructured data, modelling, or machine learning, including at least 1 year in Generative AI. Problem-Solving Skills : Strong emphasis on product development. Communication Skills : Excellent written and oral communication, and strong interpersonal skills. Independence : Ability to thrive in a fast-paced environment and work independently. Analytical Skills : Experience performing root cause analysis to answer specific business questions. Preferred Skills: Programming Languages : Familiarity with Scala (preferred), Python & SQL Predictive Modelling and Analysis : Experience in machine learning and algorithm development. Mathematical Skills : Solid foundation in statistics, calculus, and linear algebra. Model Deployment : Experience productizing and deploying machine learning models. Data Warehousing : Experience with data warehouse tools (Snowflake preferred). Data Pipeline Management : Experience with data pipeline and workflow management tools (Airflow preferred). Engineering: Experience in Prompt engineering with LLM Development using Langchain. Semantic Kernel, Open Source/ API based LLMs or similar API Development : Experience building scalable APIs in Python (using FastAPI is a plus). Data Processing : Working knowledge of data processing packages (e.g., numpy, scipy, pandas). What we Offer: Great compensation package, including a full suite of benefits. The chance to work for a fast-growing, established tech company, and work side-by-side with a dynamic team of talented professionals. Fast-paced environment with big goals and the opportunity to make a big impact. Top five reasons to come to PlanSource: #5: Join the Vista Family. In March 2019, Vista Equity Partners acquired PlanSource, marking a new phase of growth. Vistas portfolio of technology and software companies collectively make up the 4th largest software ecosystem in the world with intraportfolio career advancement opportunities and have structures in place to leverage shared learnings from across the ecosystem. #4: PlanSource has the right product. Show off our sophisticated cloud-based technology that meets the needs of even the most complex benefit programs. #3: Success is rewarded. With more than just a pat on the back, your success is recognized and rewarded. We take care of our employees in every way we can, with comprehensive benefits, employee recognitions, a work hard and play hard environment, and a commitment to wellbeing. #2: You can grow and develop professionally. PlanSource has a great track record of internal promotions and also filling open positions within the company. #1: PlanSource is the right company and we are on a roll. Be part of a winning team in a high-growth technology company that is well funded and values its employees and their families Thousands of employers and millions of consumers use the PlanSource Platform for benefits shopping, enrollment, billing and ongoing administration.

Overview Visionary Director. In this role, we are seeking a Director Offshore Program & Delivery Management to oversee end-to-end program execution, governance, and service delivery for DataOps, BIOps, AIOps, MLOps, Data IntegrationOps, SRE, and Value Delivery programs. This role requires expertise in multi-site delivery models, offshore execution, cost optimization, automation strategies, and cross-functional collaboration. Lead and manage large-scale DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Oversee the implementation of real-time monitoring, automated alerting, and self-healing Data platforms to improve uptime and performance. Develop and enforce Data and AI governance models, operational frameworks, and execution roadmaps for seamless delivery. Ensure the standardization and automation of pipeline workflows, report generation, and dashboard refreshes. Lead and manage the full people, process and technology driven Data & Analytics platform technology strategy and cultural shift for PepsiCo IT to a world class data first organization working across all Sector S&T. Champion of PepsiCos Data & Analytics program and platform management supporting large scale global data engineering efforts partnering across S&T organization Support Data & Analytics Technology Transformations to provide full sustainment capabilities across the PepsiCo Data Estate, including data platform management automation of proactive issue identification and self-healing abilities. Responsibilities Actively manage Senior/Executive level relationships up to CEO Strategic: Rapidly create and manage automation-based and structured processes. Collaborate with cross-functional teams to identify and resolve issues related to cloud infrastructure and data services. Develop and automate operational policies and procedures. Establish crisis management functions that ensure world class time to mitigate for service outages and incidents. Develop and maintain strong relationships with the customer audience. Leverage your skills such as active listening, problem-solving, and being transparent to address difficult customer situations requiring you to set and manage customer expectations while maintaining a trusted customer. Enable a customer obsessed environment where team members can relentlessly champion and advocate for our customers. Build a team culture that thrives on customer obsession. Work collaboratively with wider PepsiCo colleagues to ensure your customer is delighted with their Azure cloud experience. Attract and build a diverse, high-performing team with capabilities needed to achieve current and future business objectives. Remove barriers to agility and enable the team to shift priorities quickly without losing productivity. Develop the appropriate organizational structure, resource plans and culture to support the business objectives and customer deliverables. Leverage your technical and operations expertise in cloud and high-performance computing to establish a solid understanding of the business, customers need, and ability to earn trust in relationships. Qualifications 15+ years of technology work experience in a large-scale Global organization CPG preferred. 10+ years of experience working in Data& Analytics field. 10+ years of experience working within a cross-functional IT organization. 8+ years of experience in leadership/management experience. Excellent Communication: must have the ability to empathize with customers and convey confidence. Able to explain highly technical issues to varied audiences. Able to prioritize and advocate customers needs to the proper channels. Take ownership Make it happen Delight the customer. Customer Obsession: Passion for customers and focus on delivering the right customer experience. Growth mindset: Openness and ability to learn new skills and technologies in a fast-paced environment. Experience in a leadership role in technical support for mission critical solutions in an Microsoft Azure environment. Site Reliability Engineering experience with modern site reliability practices including automated remediation of issues, or improved scalability, etc. Experience driving Operational Excellence in operating large complex mission critical solutions. Significant experience in delivering large scale operational services in a complex-change environment. Critical Strategic thought leadership - business value focus: cost reduction/reduce costs. Critical Strategic thought leadership Operational effectiveness: increase delivery speed / reduce time Ability to create strategic plans spanning multiple time horizons and across multiple partner Teams. Ability to build cross-functional relationships through trust, respect, and partnership. Ability to discern perceived differing priorities between the business and IT, and identifying a path forward that is mutually beneficial. Experience in driving consensus around and across virtual teams and multiple functions through clear communication of vision and objectives, thorough planning, effective execution, and realization of desired benefits. Track record of consistently delivering excellent results in challenging and/or transformational environments. Experience working across the PepsiCo organization, ideally with multi-country or global implementation experience involving data. Knowledge of some of the key concepts around master data management, data standards, analytics, and digital transformation. Strong knowledge and understanding of data acquisition, data catalogues, data standards, and data management tools. Strong Communication Skills/Able to Persuade/Influence Others at all Organization Levels and the ability foster lasting partnerships.

Role & responsibilities Customer Site Visits: Travel to customer locations to oversee the installation of our products, ensuring proper setup and functionality. Pilot Testing Management: Manage end-to-end pilot testing processes on customer sites, from initial installation to final testing and validation. Technical Problem Solving: Identify, diagnose, and resolve technical issues that arise during installation and testing, providing on-site support and solutions. Customer Support: Work closely with customers to provide technical guidance and support throughout the installation and testing phases. Collaboration: Collaborate with internal R&D and engineering teams to improve product design based on field feedback and performance data. Documentation: Prepare detailed reports on installation processes, testing outcomes, and any issues encountered to facilitate continuous improvement. Preferred candidate profile Educational Background: Bachelors degree in Electrical Engineering or a related field. Experience: Experience of working in the electric vehicle industry, with a focus on motor systems and installations. Technical Skills: Strong understanding of electric vehicle systems, motor technologies, and installation procedures. Problem-Solving Abilities: Proven ability to diagnose and solve technical issues in real-time, with a proactive and solution-oriented approach. Communication Skills: Excellent verbal and written communication skills, with the ability to effectively interact with customers and internal teams. Travel Requirements: Willingness to travel to customer sites as required. Perks and benefits Opportunity to work in a fast-growing, innovative company in the EV industry. Collaborative and dynamic work environment with opportunities for growth and development. Exposure to cutting-edge technologies and industry trends. Salary is on negotiation basis based on expertise.

Responsibilities Proactively analyze data to answer key questions for stakeholders, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity. Develop and maintain databases by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across datasets. Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution. Requirements Undergraduate Degree in any quantitative discipline such as engineering, science, or economics from a Top-Tier institution. 1-2 years of experience in Data Analysis. Proficiency in SQL and Data visualization tools like Tableau. Strong problem-solving and conflict-resolution ability. Good communication, and interpersonal skills. Ability to understand the technology stack, dependencies between applications, and how the data flows between them. Highly adaptable to change and an excellent team player with the ability to influence and negotiate.

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.

Role: Data Acquisition Lead (FSP) Duration: Contract Location: Remote Work timing: IST or UK Hours Job Description: - Serve as the subject matter expert for the planning, set-up, and acquisition of external clinical data at the study level and manage study start up, conduct and close out activities. - Create external data transfer agreements, ensuring external clinical trial data are in alignment with company Standards and specifications to support data integration, analysis, and reporting. - Help and advice in setting up infrastructure for external data, to flow into company Clinical data pipelines. - Responsible for validation of all 3rd Party Data generated in clinical trial into company Clinical Data pipelines. - Develop strong and productive working relationships with key stakeholders like Clinical Data Management, Clinical Data Engineering, Standards and other Study Execution Team members. - Participate in preparing function for submission readiness and may represent Clinical Trial Tools & Technologies (CT3) group in a formal inspection or audit. - Representing company in interactions with key external partners as part of company CT3 3rd Party Data Acquisition team. - Responsible for timely submission and on-going maintenance of study related 3rd Party Data Acquisition documentation in TMF. - Follow procedural documents and participating in reviewing and updating documents to make sure they are reflective of industry standards and regulatory requirements and include optimal processes. - Liaise with and reviewing work delivered by external partners (e.g. laboratories, eCOA providers, technology providers, etc.) performing services on behalf of company. - Escalate issues to CT3 leadership appropriately. Technical/Functional Expertise: - Working knowledge and understanding of FDA and ICH regulations and industry standards and quality control principles. - Experience with all phases of drug development. - Solid Experience in handling Clinical data acquisition and management from external/3rd Party vendors. - May lead study level negotiation and agreement for data transfer or integration on behalf of company. - Should be able to function collaboratively (with some guidance) with all levels of employees , moderate supervision required. - Knowledge on FTP tools like GlobalScape, Clinical platforms like Veeva CDMS, Elluminate and Veeva TMF will be a plus. Thanks & Regards: Abhinav Krishna Srivastava Mob : +91- 9667680709 FCS Software Solutions Ltd. Email: asrivastava@fcsltd.com

The ideal candidate for this position would have an in-depth technical knowledge of the following topics. Both system level and detailed design experience in the following areas of instrumentation: o Process Instrumentation • Flow Measurement (Venturi Tubes, Magnetic Flowmeters, Parshall Flumes, Propeller Meters, Mass Flow, etc.) • Pressure Measurement (Gauge, Differential, Hydrostatic, etc.) • Level Measurement (Ultrasonic, Radar, Submersible, Float Switches, etc.) • Temperature (RTD, Thermocouple, Thermowells, etc.) o Analytical Instrumentation (pH, Chlorine Residual, Turbidity, Streaming Current, Particle Counters, Dissolved Oxygen, ORP, BOD, etc.) o Termination, startup, and calibration of instrumentation Detailed PLC Hardware knowledge with basic PLC Programming knowledge using PLC hardware furnished by the following PLC manufacturers: o Allen-Bradley, Modicon, GE, Siemens, Bedrock Basic Human-Machine Interface (HMI) Programming knowledge using SCADA software developed by the following HMI/SCADA software developers: o Wonderware, VTScada, Ignition, RSView/FactoryTalk, GE iFIX Control Panel Design and Standards o PLC Panels, RTUs, Local Control Panels, Motor Control Panels, Variable Frequency Drives, Motor Control Centers Communications and networking knowledge that is used during the development and deployment of projects: o Fiber optic cabling and topologies o Radio systems including licensed, unlicensed and cellular o Ethernet networking and switches including VLANs, segmentation, routing, and firewalls o Cloud storage, edge devices and machine learning o Cybersecurity technologies in control systems Computer Hardware and Software o Workstations, Servers, Network Racks, Virtualization, Terminals Services, Operating System licensing and CALs, Databases Security Access and Surveillance Systems (Cameras, Door Access, Central monitoring systems and DVRs) General Office Skills o Proficient with Microsoft Office products such as Word, Excel, PowerPoint and SharePoint o Proficient with drawings packages like Visio o Proficient with PDF packages like Adobe o Comfortable working with design and applications engineers and administrative staff o Comfortable with calling vendor technical support o The desire to learn new skills, products and technologies and apply them

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.

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.

Responsibilities Proactively analyze data to answer key questions for stakeholders, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity. Develop and maintain databases by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across datasets. Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution. Requirements Undergraduate Degree in any quantitative discipline such as engineering, science, or economics from a Top-Tier institution. 1-2 years of experience in Data Analysis. Proficiency in SQL and Data visualization tools like Tableau. Strong problem-solving and conflict-resolution ability. Good communication, and interpersonal skills. Ability to understand the technology stack, dependencies between applications, and how the data flows between them. Highly adaptable to change and an excellent team player with the ability to influence and negotiate.

Data Engineer Data Sourcing & Solutions Gurgaon/Bangalore, India The Data Sourcing & Solutions team is a growing group inside of AXA XL, responsible for designing and implementing data structures that will enable AXA XL to harness the potential of advanced analytics in the decision-making process. Data is vital to analytics. In order to ensure that we are achieving our potential under this discipline, we need to make certain our data has the right context, granularity, and quality. The Data Engineer plays a critical role within the Data Sourcing & Solutions team as this person is responsible for designing and implementing data structures to support current and future analytical projects within. We are looking for candidates that have experience working with data from a raw, unprocessed state and organizing it in an intuitive way. Building this data pipeline enables our partners to analyze data better and faster ultimately leading the organization in optimizing the decision-making process. What will your essential responsibilities include? Exploring and acquiring new sources of data. Using curiosity and creativity, this would involve using technology to automate data acquisition, ability to link new sources with internal data, and appropriate level of supporting documentation of the source and technical solution. Providing the right context of data required for a given analysis. This would require the candidate to work with data modelers/analysts to understand the business problems they are trying to solve and create data structures to feed into their analysis. Build upon learnings of internal and external data to become more proactive. This includes thinking ahead of what modelers will anticipate with their data needs and designing structures that are intuitive to use. Ensuring quality and understanding of analytical data. This would require hands on data experience to look into data issues and seek to resolution or acceptance. Create the appropriate amount of documentation, leverage standards and build upon them. Data should be reconciled and documented at various stages for integrity. Participate in developing governance and rigor of data management practice within the Data Sourcing & Solutions Team . This will also include partnering with enterprise IT groups and involvement in enterprise data related functions. You will report to Data Manager-Solutions Delivery & Analytics.

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.

Description: Looking for dynamic people who want to work in large scale digital transformation programs and have effective communication skills and clearly articulate and communicate with customers and internal stake holders. Required Qualifications & Experience- • B.Tech/BE degree in Computer Science or Information Technology or a degree in Master of Business Administration / PGDM • 5 to 7 years of experience of working as Business Analyst in digital implementation projects • Ability to act as an interface between the technical team and business team, understanding business requirements for new developments, changes and communicating them to the tech teams documenting requirements, acting as internal clients to supervise functional testing • Candidate should have exposure to Datawarehouse / datalake , Data acquisition, data transformation processes. • Must have experience in Data analysis, data transformation logic, data modelling • Ability to define test conditions to validate the development & quality of the application • Ability to demonstrate the functionalities to key business users. • Ability to do interdependency analysis and impact assessment on change in business process • Carrying out sessions with business teams to study and understand technology aspirations, current business processes, etc. • Participated and lead the UAT from a domain perspective • Should have in his/her project experience participated in Knowledge transfer from one vendor to other vendor as a knowledge acquirer • Ability to work with multiple stakeholders and organize the training content • Has experience in creating Project templates/Documentation not limited to a) Process Documents b) User Manuals c) Data Model descriptions d) Frequently Asked Questions and getting the sign off from respective stake holdersRole & responsibilities Preferred candidate profile Perks and benefits

Skill required: IX Product Engineering Services - Digital Site Designing Designation: Engineering Services Analyst Qualifications: BE Years of Experience: 3 to 5 years What would you do? The SCADA Display Builder will be responsible for designing, developing, and maintaining high-quality graphical user interfaces (GUIs) for the utility s Supervisory Control and Data Acquisition (SCADA) system. This role requires a strong understanding of power system operations, SCADA principles, and human machine interface (HMI) design. The candidate will be working on SCADA display building using relevant display development tools. Your key responsibilities will include: Designing and developing SCADA displays for various operational functions, including system overview, transmission, substation, circuits, areas and regional displays. Utilizing relevant tools to effectively to create dynamic and interactive displays. Focus on creating displays that are easy to understand and use. This involves using intuitive design principles, clear labeling, and effective use of color coding and symbols. Follow industry standards and best practices for SCADA display design, ensuring that your displays are reliable, consistent, and meet regulatory requirements. Integrating data from various sources, including real-time SCADA data, historical data, and GIS data. Thoroughly testing all displays to ensure accuracy, functionality, and reliability. What are we looking for? Electrical Engineering Adaptable and flexible Ability to work well in a team Numerical ability OSI Monarch and Design Studio EMS, ICCP, SOM Planner State Estimation, Contingency Analysis, CIM modelling, Power Flow Client Management Critical Thinking Data Reporting Roles and Responsibilities: OSI Monarch CAD DesignDisplay Development (similar to CAD drawings):Create single line drawings using OSI Monarch software.Develop accurate and detailed drawings displays from scratch or enrich converted output, ensuring adherence to defined display standards.Interpret base level engineering diagrams or existing displays to build new displays.Work closely with cross-functional teams, including engineers and product designers, clients and onshore team to understand specidicspecific requirements and specifications.Peer Review:Collaborate with team members to conduct thorough peer reviews of CAD drawingsEMS Displays.Provide constructive feedback to ensure the accuracy, completeness, and compliance of drawings with industry standards, internal display standards, and internal guidelines.Quality and DoucumentationDocumentation:Ensure the accuracy and completeness of CAD drawings,EMS Displays, addressing feedback from peer reviews, clients and project leadsMaintain organized and up-to-date documentation of drawings and changes incorporated.Assist in SIT in collaboration with clientsEnsure drawing display handover documentation is upto dateAdhere to predefined KPIs of accuracy, timeliness etc.Continuous Improvement:Stay current with industry trends and advancements in OSI Monarch CAD designdisplay building.Participate in training and development opportunities to enhance skills and knowledge. Qualifications BE

About The Role : Role Description: Minimum Experience of 6 years in either Oracle Utilities Customer Care & Billing (CC&B), Customer to Meter (C2M), Meter Data Management (MDM) or Customer Cloud Service (CCS) with experience in end-to-end implementations. Proven track record with CIS implementation engagements (At least 2 CC&B/C2M/CCS/MDM implementation). Should be able to engage with client, delivery team and other stakeholders across different geographies and to gather or clarify detailed user stories/requirements. Should possess hands-on CC&B/C2M/CCS/MDM functional expertise on more than one area of either electric, gas or water utility in Billing, Rates Configurations, Payments, Credit & collection, Meter Data acquisition, VEE Groups/Rules, Usage measurement, Aggregation and calculations, etc. Should be able to understand business requirements in detail and design, implement, and provide solution on different business processes with focus on out of the box solution. Candidate should have excellent written and verbal communication skills ability to lead workshops, demos and ability to not only document business process but also should be able to recommend new methods and automation opportunities for efficient business operation. Should have understanding of de-regulated and regulated market environment and related tariff scenarios, meter to cash process, market EDI transaction lifecycle etc. Should understand fundamentals of the Oracle Utilities Application Framework (OUAF) to guide the overall solution development. Knowledge of other utility products built on OUAF platform such as SOM, ODM, NMS, SGG, MWM, WAM, OUCSS, OUBI is a plus. In-depth Knowledge of OUAF, database structure and technical knowledge is a plus. Oracle Utilities Certifications in Oracle Utilities product suite would be an advantage. Qualifications Qualifications and Education Requirements: Full Time Graduation

Overview This role is responsible for supporting the PBNA Retail team with all reporting and analytics support activities including (but not limited to) key reporting and analysis of performance by Channel, Brand, Customer and Sales Area against key deliverables. Role will be responsible for providing data and analytics leadership to the commercial team, including data acquisition and validation, as well as interpretation of the results. This role also provides meaningful insights and recommendations to the Sales Leadership team across our Sector and/or Division teams. Responsibilities Support Commercial function with performance reporting against established KPIs, including ad-hoc reporting requests using internal and shipment / POS data and market data systems (IRI) will include Off-Ticket ROI analysis, CDA Scorecard, distribution reporting, Service Scorecard, Energy performance reporting, Incentive Tracking, Promo/Plus-Up analysis, daily & weekly OTS reporting, Cause of Change/Bain Reprot, OTS & Co-op Scorecards, QBP Deck, Quarterly Customer meeting Decks, and Off-Line Forecast PowerBI skills must have, Coding Skills Python / R / modelling experience and ability to understand statistical modelling (regression, cluster analysis, etc.) Present insights and recommendations to Sales Leadership team on an established time period and in a clear, concise manner Create opportunities to improve forecasting, create Predictive Analytics used cases and create opportunities for digital transformation Implement continued improvements and simplifications of processes, standardization of reporting and optimal use of technology Develop on-demand reports and Scorecards delivering improved agility through ease of access and enhanced visualization Collate and format large and complex sets of data across multiple channels, customers and sales areas. Analyze data to distil meaningful insights on performance trends and opportunities Analyze key innovation or portfolio activity effectiveness to monitor return on investment and identify opportunities for improvement and customization by Channel, Brand, Customer and/or Market Assist with field sales execution and compliance reporting - HI-FI tool fluency to validate Store Sets to Contract requirements (Could be Savvy tool in the future ) Manage expectations through verbal and written interactions with headquarter partners Ensure delivery of accurate and timely data in accordance with agreed service level agreements (SLA) Work across multiple functions to aid in collecting insights for action-oriented cause of change analysis Ability to focus against speed of execution and quality of service delivery rather than achievement of SLAs Recognize opportunities and take action to improve delivery of work Create an inclusive and collaborative environment Qualifications 5 years of experience in Sales/Sales Management Bachelors in commerce/business administration/marketing or Finance, Masters degree is a plus Prior Fast Moving Consumer Goods (FMCG) company experience required Development experience related to Data Analytics and Reporting including the usage of relevant tools and software packages (i.e Power BI) Requires a high level of analytical, critical thinking, and problem-solving skills as well as great attention to detail Propensity to learn PepsiCo software systems Strong knowledge of MS Office programs specifically Excel, Power Point and Access Ability to provide superior customer service