236 Catalog Jobs - Page 5

1. Manage Shopify listings quickly & accurately 2. Write SEO titles/descriptions for visibility & sales 3. Bulk upload via CSV with correct variants, SKUs, and tags 4. Update stock as per the inventory reports 5. Ensure complete, error-free data Required Candidate profile 1–2 yrs Shopify listing & inventory experience Fast typing, strong attention to detail Good English & product SEO knowledge Excel/Sheets & Shopify backend skills Mobile accessories knowledge is a plus

Responsibilities: * Manage product listings on Shopify platform * Optimize catalog performance through data analysis * Collaborate with marketing team for promotions & campaigns * Monitor sales trends & customer feedback

About Us: Indus Valley Organic is a premier personal care brand that is dedicated to providing safe, organic, and effective products. With almost 50 years of experience, we have served customers in over 30 countries across 6 continents. Our team of promoters consists of accomplished scientists with expertise in personal care, who have served the Government of Delhi and earned prestigious awards. We prioritize safety and our products are data driven and 100% scientifically proven for better results. Discover our range of products designed to enhance your natural beauty while prioritizing safety. We offer a diverse selection of over 25 products to cater to your individual needs. You can find our products on our website at buyindusvalley.in as well as on all major marketplaces. Ready to embark on this exciting journey? Apply now by sharing your updated resume and be part of our mission to redefine beauty in harmony with nature! Job Description We are seeking an experienced and strategic Purchase Manager to lead our procurement team in acquiring goods, materials, and services at the best possible price, quality, and terms. The successful candidate will develop and implement effective procurement strategies, manage supplier relationships, and ensure compliance with company policies and procedures. Job Summary: We are seeking a highly skilled Procurement Executive to join our team. The successful candidate will be responsible for managing the procurement process, sourcing goods and services, and ensuring timely delivery while maintaining quality and cost-effectiveness. Key Responsibilities: 1. Procurement Process: - Manage the procurement process from requisition to payment - Ensure compliance with company policies and procedures 2. Sourcing: - Identify and evaluate potential suppliers - Negotiate prices, terms, and conditions 3. Contract Management: - Prepare and manage contracts with suppliers - Ensure compliance with contractual obligations 4. Supplier Management: - Develop and maintain relationships with suppliers - Monitor supplier performance and address issues 5. Inventory Management: - Manage inventory levels and optimize stock levels - Ensure accurate inventory records and reporting 6. Cost Control: - Analyze and optimize procurement costs - Identify opportunities for cost savings 7. Collaboration: - Work closely with internal stakeholders, including operations and finance teams. Other details - Work Mode - Work from office (6 Days working) Work Location - Plot no -79, Industrial Area, Shoghi Shimla, Himachal Pradesh - 171219 Ready to embark on this exciting journey? Apply now or share your updated resume on hr@buyindusvalley.com or 9821112753 and be part of our mission to redefine beauty in harmony with nature

A career in our Managed Services team will provide you an opportunity to collaborate with a wide array of teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology. Our Application Evolution Services team will provide you with the opportunity to help organizations harness the power of their enterprise applications by optimizing the technology while driving transformation and innovation to increase business performance. We assist our clients in capitalizing on technology improvements, implementing new capabilities and achieving operational efficiencies by managing and maintaining their application ecosystems. We help our clients maximize the value of their Oracle investment by managing the support and continuous transformation of their solutions in the areas of finance operations, human capital management, supply chain management, reporting and analytics and governance, risk and compliance. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As an Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: - Invite and give in the moment feedback in a constructive manner. - Share and collaborate effectively with others. - Identify and make suggestions for improvements when problems and/or opportunities arise. - Handle, manipulate and analyse data and information responsibly. - Follow risk management and compliance procedures. - Keep up-to-date with developments in area of specialism. - Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce. - Build and maintain an internal and external network. - Seek opportunities to learn about how PwC works as a global network of firms. - Uphold the firm's code of ethics and business conduct. Role: Senior Associate Tower: Oracle Experience: 4 - 7 years Key Skills: Oracle Fusion PDH/PIM / Inventory/ Cost Management Educational Qualification: BE / B Tech / ME / M Tech / MBA Job Description As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: - Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. - Proven track record as an SME in chosen domain. - Ability to come up with Client POC/POV for integrating/increasing adoption of emerging Tech. like BlockChain, AI et al with the product platform they are associated with. - Mentor Junior resources within the team, conduct KSS and lessons learnt. - Flexible to work in stretch opportunities/assignments. - Demonstrate critical thinking and the ability to bring order to unstructured problems. - Ticket Quality and deliverables review. - Status Reporting for the project. - Adherence to SLAs, experience in incident management, change management and problem management. - Review your work and that of others for quality, accuracy and relevance. - Know how and when to use tools available for a given situation and can explain the reasons for this choice. - Seek and embrace opportunities which give exposure to different situations, environments and perspectives. - Use straightforward communication, in a structured way, when influencing and connecting with others. - Able to read situations and modify behavior to build quality relationships. - Uphold the firm's code of ethics and business conduct. - Demonstrate leadership capabilities by working with clients directly and leading the engagement. - Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. - Good Team player. Take up cross competency work and contribute to COE activities. - Escalation/Risk management. Position Requirements Required Skills: - 4 ~ 7 year of experience of Oracle Fusion Cloud Applications, specifically to the below modules - PDH - Inventory Management - Cost Management - Should have completed minimum Two end-to-end implementations in Fusion PDH/Inventory/Costing modules, upgradation, lift and shift and support projects experience - Solid understanding of Enterprise Structures, Product Hub, Item Attributes, Item Structure, Catalog, Category, Cost Management in Fusion SCM - Understand client requirements, provide solutions, functional specifications and configure the system accordingly - Prepare process flows, data flow diagrams, requirement documents, user training and onboarding documents to support upcoming projects and enhancements - Deliver and track the delivery of issue resolutions to meet the SLAs and KPIs - Focus on reducing recurrence issues caused by the Oracle Fusion application - Generate adhoc reports to measure and to communicate the health of the applications - Ability to configure PDH/Inventory/Costing cloud configuration to the Client's Standards & Requirements. - Good knowledge of BPM Approval Workflow and BI Reports - Should be able to understand and articulate business requirements and propose solutions after performing appropriate due diligence - Should have good communication, presentation, analytical and problem-solving skills Coordinate with team to close the client requests on time and within SLA Exposure perform Unit Testing and UAT of issues and collaborate with the business users to obtain UAT sign-off Experience in working with various PDH/Inventory/Costing data upload / migration techniques like FBDI / ADFDI/Import maps and related issue resolutions Preferred Skills - Good to have Reporting BIP/ OTBI & Integration Knowledge - Knowledge on using automated process for configuration and migration activities.,

Stridely Solutions is an ISO 9001:2015 certified global technology solution provider that specializes in digital transformation solutions leveraging cutting-edge technology tools and platforms. With a team of over 450 techno experts, we offer services in SAP, IoT, RPA, Advanced Analytics, Microsoft Dynamics, and Microsoft CRM across India, USA, and Canada. Our extensive experience in automating business processes and technology platform migration ensures the delivery of quality enterprise software solutions that guarantee a positive return on investment. Our client engagement model focuses on establishing partnerships rather than just being service providers. As a SAP Hybris Developer at Stridely Solutions, you will need to have a minimum of 5 years of experience in SAP Commerce Cloud (Hybris) and demonstrate a creative problem-solving approach along with a solid grasp of coding and design principles. Your responsibilities will include designing and developing E-Commerce applications using SAP Commerce Cloud, utilizing Spring, REST/API services, and Web Services. Additionally, you will be expected to have a good understanding of Catalog, SOLR, Order management, and Media Management in SAP Commerce Cloud, along with expertise in web technologies such as HTML, CSS, and JavaScript. Experience with Agile methodology, continuous integration build tools, code quality tools, design patterns, and software development best practices is essential. Strong communication and teamwork skills are also required for this role. At Stridely Solutions, we offer an attractive and competitive salary package that matches your expectations, along with the opportunity to work in a world-class organization, onsite opportunities, flexible work hours, exposure to global clients, and a conducive work environment. Join us and be a part of our dynamic team dedicated to driving digital transformation for our clients.,

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 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 PepsiCo Data BI & Integration Platforms is seeking an experienced Cloud Platform Databricks SME, responsible for overseeing the Platform administration, Security, new NPI tools integration, migrations, platform maintenance and other platform administration activities on Azure/AWS. The ideal candidate will have hands-on experience with Azure/AWS services Infrastructure as Code (IaC), platform provisioning & administration, cloud network design, cloud security principles and automation. Responsibilities Databricks Subject Matter Expert (SME) plays a pivotal role in admin, security best practices, platform sustain support, new tools adoption, cost optimization, supporting new patterns/design solutions using the Databricks platform. Heres a breakdown of typical responsibilities Core Technical Responsibilities Architect and optimize big data pipelines using Apache Spark, Delta Lake, and Databricks-native tools. Design scalable data ingestion and transformation workflows, including batch and streaming (e.g., Kafka, Spark Structured Streaming). Create integration guidelines to configure and integrate Databricks with other existing security tools relevant to data access control. Implement data security and governance using Unity Catalog, access controls, and data classification techniques. Support migration of legacy systems to Databricks on cloud platforms like Azure, AWS, or GCP. Manage cloud platform operations with a focus on FinOps support, optimizing resource utilization, cost visibility, and governance across multi-cloud environments. Collaboration & Advisory Act as a technical advisor to data engineering and analytics teams, guiding best practices and performance tuning. Partner with architects and business stakeholders to align Databricks solutions with enterprise goals. Lead proof-of-concept (PoC) initiatives to demonstrate Databricks capabilities for specific use cases. Strategic & Leadership Contributions Mentor junior engineers and promote knowledge sharing across teams. Contribute to platform adoption strategies, including training, documentation, and internal evangelism. Stay current with Databricks innovations and recommend enhancements to existing architectures. Specialized Expertise (Optional but Valuable) Machine Learning & AI integration using MLflow, AutoML, or custom models. Cost optimization and workload sizing for large-scale data processing. Compliance and audit readiness for regulated industries. Qualifications Bachelors degree in computer science. At least 12 years of experience in IT cloud infrastructure, architecture and operations, including security, with at least 5 years in a Platform admin role Strong understanding of data security principles and best practices. Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms. Experience with data classification and masking techniques. Strong understanding of cloud cost management, with hands-on experience in usage analytics, budgeting, and cost optimization strategies across multi-cloud platforms. Strong knowledge of cloud architecture, design, and deployment principles and practices, including microservices, serverless, containers, and DevOps. Deep expertise in Azure/AWS big data & analytics technologies, including Databricks, real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools. Deep expertise in Azure/AWS networking and security fundamentals, including network endpoints & network security groups, firewalls, external/internal DNS, load balancers, virtual networks and subnets. Proficient in scripting and automation tools, such as PowerShell, Python, Terraform, and Ansible. Excellent problem-solving, analytical, and communication skills, with the ability to explain complex technical concepts to non-technical audiences. Certifications in Azure/AWS/Databricks platform administration, networking and security are preferred. Strong self-organization, time management and prioritization skills A high level of attention to detail, excellent follow through, and reliability Strong collaboration, teamwork and relationship building skills across multiple levels and functions in the organization Ability to listen, establish rapport, and credibility as a strategic partner vertically within the business unit or function, as well as with leadership and functional teams Strategic thinker focused on business value results that utilize technical solutions Strong communication skills in writing, speaking, and presenting Capable to work effectively in a multi-tasking environment. Fluent in English language.

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.

EKAM, owned by Aromee Brands Pvt. Ltd., is part of the Manipal Group. We are an affordable luxury brand targeting the urban sector, offering lifestyle and self-care products rooted in Indian traditions. EKAM provides luxury scented products that combine international bestselling fragrances with beloved Indian aromas, available through both online and retail channels. All our fragrances are carefully crafted to promote the physical and mental well-being of our customers, helping them feel their best every moment, every day. As we expand our digital presence, we're looking for an experienced Assistant Manager E-commerce to lead and grow our marketplace operations on Amazon & Flipkart. Role Responsibilities: - Manage and scale our presence on Amazon & Flipkart - Handle listings, pricing strategies, promotions, and inventory planning - Launch and monitor ad campaigns on both platforms - Track performance, generate reports, and suggest data-driven improvements - Coordinate with cross-functional teams (catalog, design, operations, etc.) Ideal Candidate: - 3+ years of hands-on experience in Amazon & Flipkart account handling - Working knowledge of ad tools (Sponsored Products, Lightning Deals, etc.) - Strong communication and analytical skills - Self-motivated, with an ownership mindset Willing to work full-time from our Bangalore office

Job Title:AWS Data EngineerExperience5-10 YearsLocation:Bangalore : Technical Skills: 5 + Years of experience as AWS Data Engineer, AWS S3, Glue Catalog, Glue Crawler, Glue ETL, Athena write Glue ETLs to convert data in AWS RDS for SQL Server and Oracle DB to Parquet format in S3 Execute Glue crawlers to catalog S3 files. Create catalog of S3 files for easier querying Create SQL queries in Athena Define data lifecycle management for S3 files Strong experience in developing, debugging, and optimizing Glue ETL jobs using PySpark or Glue Studio. Ability to connect Glue ETLs with AWS RDS (SQL Server and Oracle) for data extraction and write transformed data into Parquet format in S3. Proficiency in setting up and managing Glue Crawlers to catalog data in S3. Deep understanding of S3 architecture and best practices for storing large datasets. Experience in partitioning and organizing data for efficient querying in S3. Knowledge of Parquet file format advantages for optimized storage and querying. Expertise in creating and managing the AWS Glue Data Catalog to enable structured and schema-aware querying of data in S3. Experience with Amazon Athena for writing complex SQL queries and optimizing query performance. Familiarity with creating views or transformations in Athena for business use cases. Knowledge of securing data in S3 using IAM policies, S3 bucket policies, and KMS encryption. Understanding of regulatory requirements (e.g., GDPR) and implementing secure data handling practices. Non-Technical Skills: Candidate needs to be Good Team Player Effective interpersonal, team building and communication skills. Ability to communicate complex technology to no tech audience in simple and precise manner.

Designation - Meta Ads Years of Experience - 1.5+ Years Job Type - Onsite Timings - 10 AM - 7.30PM Location - Nava Vadaj, Ahmedabad, Gujarat. Key Skills : Fluent English is necessary (Ability to speak, write, listen & read English) Keyword research and competitive analysis Basic Knowledge of Extensive Ad copywriting, targeting selection, Audience selection & testing in Facebook Ads Advanced knowledge of Facebook pixels Knowledge of Good Adword is a plus Experience and Knowledge in improving Click Through Rates and Costs Per Click Excellent at writing ad copy Create/add/manage Facebook ads and large budgets on a daily basis Basic knowledge about Analytics and Goal setup knowledge Basic understanding of Monitoring Campaigns and optimization Strong Computer Skills (Word, Excel, PPT, Skype, Browsers, Email) Basic Knowledge of working with popular PPC ad platforms (AdWords, Yahoo, Bing) plus Ability to take on challenges & complex tasks Roles & Responsibilities: Do the business analysis for our clients & understand their business model Manage the setup, adjustments, monitoring, and reporting for Facebook advertising campaigns To manage Facebook ads campaigns for international clients & Indian clients Manage campaign types with different focuses like conversion, website clicks, website traffic, remarketing, etc Submit the weekly & monthly reports to clients Prepare daily working sheet & submit it to the manager Do daily optimization & maintenance of all Facebook ads accounts If given an opportunity, work on other PPC platforms like Google Adwords, bing, Or amazon Company Details https://www.webindiainc.com/

Job TitleLead Technical Consultant Experience Level: 6- 10 years Short Description: As a Lead ServiceNow Specialist, you will spearhead initiatives to optimize and expand our use of the ServiceNow platform across various business functions, including Customer Service Management, Sourcing and Procurement Operations, Legal Services Delivery, and Financial Services Operations. This leadership role demands a deep understanding of ServiceNow's capabilities, strategic vision, and the ability to translate complex business requirements into efficient technical solutions. You will lead a team of developers and collaborate closely with business stakeholders to drive innovation and operational excellence. Roles and Responsibilities: Build and oversee the design, development, and implementation of ServiceNow solutions across multiple modules such as Service Portal, Workspaces, CMDB, Service Catalog, and Now Agent. S2P, FSO, CRM, ITAM, ITOM, IRM/GRC or a combination of these modules. Responsible for the technical specifications and implementation of the ServiceNow integrations. Create and manage scripts, workflows and architecture documents. Lead the integration of ServiceNow with other low-code platforms, RPA, and IDP technologies to enhance business processes and automation. Develop and enforce best practices in code development, system architecture, and process automation while leading code and peer reviews. Conduct sophisticated troubleshooting and problem-solving across the ServiceNow platform. Direct and mentor a team of ServiceNow developers and analysts, fostering a culture of continuous improvement and professional growth. Manage key stakeholder relationships, translating complex business needs into technical specifications and ensuring alignment with business objectives. Drive innovation in IT service management, leveraging new technologies and methodologies to enhance service delivery. Build robust Integrations with other peripheral systems, middleware, application. Manage the ServiceNow upgrade process, ensuring compatibility and minimal disruption. Skills and Qualifications: Proven expertise in the ServiceNow platform, Script include Client and Server-side scripting including advanced knowledge of Service Portal, Workspaces, CMDB, Service Catalog, Knowledge Management and Change Management. Advanced proficiency in App Engine Studio, flows to build custom applications using ServiceNow OOTB and plugins. ServiceNow Portal development experience with Angular, JS, CSS, SQL/MongoDB. Strong leadership skills with the ability to lead by example in developing solutions and managing teams. Expertise in DevOps practices, including continuous integration and continuous deployment. Excellent analytical, problem-solving, and project management skills. Proficient in JavaScript, HTML, CSS, and other relevant web technologies. Experience with ServiceNow client and server-side Javascript and the ServiceNow APIs, scripted, Web-Services, AJAX, Business Rules, SOAP, REST, SSO-SAML Exposure to configuring UI Actions/UI Policy ACL, Business Rules, Glide Scripting. Experience and Education Background: Bachelor's or master's degree in computer science, Information Systems, or a related field. 6-10 years of progressive experience in ServiceNow development and administration. Required certificationsServiceNow Certified System Administrator (CSA), ServiceNow Certified Application Developer (CAD), any other relevant Micro-certifications, Solutions based certifications is an advantage. Other Preferred Skills: Familiarity with additional low-code platforms, Robotic Process Automation (RPA), and Intelligent Document Processing (IDP) platforms. Experience in ITIL or similar frameworks, with certification preferred. Strong interpersonal and communication skills, capable of working directly with clients and high-level organizational leaders. Additional Information: This position offers the opportunity to be at the forefront of IT service management and digital transformation initiatives. Professional development opportunities, including training and certification in emerging technologies and leadership. Qualifications BE Job Location

Job description Job Title: E-commerce Executive Location : Kolkata(Near Ruby location) Company: Madhu Jayanti International Pvt Ltd Shift Timing: 7 AM - 4 PM **Rotational Day Off [Sunday Working]** Job Responsibilities 1. Order Processing & Fulfillment Process orders, manage returns, and track shipments on marketplace platforms. Coordinate with logistics teams to ensure timely and accurate deliveries. Resolve order fulfillment issues efficiently. 2. Product & Inventory Management Upload and update product information on e-commerce platforms. Ensure accuracy in product descriptions, images, prices, and stock levels. Monitor and manage inventory levels to prevent stockouts or overstock situations. 3. Reporting & Analysis Generate and share weekly or monthly reports on order trends and performance. 4. Customer Support & Satisfaction Provide customer support via emails, chat, or marketplace platforms. Address customer queries regarding products, orders, returns, and shipping. Maintain high levels of customer satisfaction and positive feedback. Requirements Bachelor's degree in Business, Marketing, or a related field. 1-3 years of experience in e-commerce operations. Strong understanding of online marketplace platforms and order management systems. Excellent communication and problem-solving skills. Proficiency in MS Excel and data analysis for reporting. Ability to work in a fast-paced environment and manage multiple tasks effectively. Knowledge of logistics and supply chain processes is an added advantage. If you are a detail-oriented professional with expertise in e-commerce operations, we invite you to apply and be part of our dynamic team and also share your updated resume at recruitments@jaytea.com

Product Cataloging Location: Chennai Job Type: Full-time Job Summary We are seeking meticulous and detail-oriented individuals to join our team as Product Cataloging QA Specialists. In this crucial role, you will be the final human checkpoint in our advanced Generative AI advertising analysis pipeline. Your primary responsibility is to ensure the accuracy of product-to-taxonomy mapping performed by our AI. You will analyze digital ads, manually identify the advertised products, find their correct ID within our product taxonomy, and verify if it matches the AI's conclusion. This position is ideal for someone with a keen eye for detail, strong research skills, and an interest in the intersection of AI and digital marketing. Key Responsibilities Creative Analysis: You will begin by opening the ad creative link (image or video), carefully examining the content to independently identify the specific product or service being advertised. Taxonomy Navigation and Search: Using your understanding of the product, you will search our comprehensive product taxonomy database to find the exact corresponding item and its unique Product ID. Accuracy Confirmation: You will compare the Product ID you identified through your manual search with the Product ID that our GenAI solution has identified. The core of your role is to validate whether the AI's mapping is correct. Data Correction: If the AI-identified Product ID is incorrect, you will update the record with the correct ID that you found, ensuring our database remains highly accurate. Feedback Loop: You will provide valuable feedback to the engineering team on the performance of the AI models, highlighting correct and incorrect matches to help improve their accuracy over time. Required Skills and Qualifications Exceptional Attention to Detail: You must be able to spot subtle product differences and inconsistencies. Strong Analytical and Research Skills: The ability to quickly understand an advertisement and efficiently search a large database/taxonomy to find specific information is essential. Logical Thinker: You need to be able to navigate a structured taxonomy and make accurate judgments based on product attributes. Digital Literacy: You should be comfortable navigating various social media platforms and websites. Self-Motivated: You need to be able to work independently and manage your time effectively to meet quality and productivity targets. Excellent Communication: Clear and concise communication skills are necessary for providing feedback. Preferred Qualifications Previous experience in product cataloging, e-commerce merchandising, or quality assurance (QA) in the field of product cataloging, e-commerce merchandising. Experience working with large databases, taxonomies, or product information management (PIM) systems. Familiarity with digital advertising and marketing concepts. Basic understanding of how AI and machine learning systems work. Salary-3.5LPA Max Immediate joiners only Day shift No cabs provided DLF Park, Poru r Chennai Immediate joiners please call HR- 9108530925 OR email to prathiksha.l@alpconsulting.in

Role : Catalogue Process Exp : 1 years Loc : Chennai & Pondichery Package : 3LPA Qua : Any UG Shift : Day shift(10:00Am to 7:00PM) Industry : E-commerce Regards Bhuvana 9150760085

Job Summary We are seeking meticulous and detail-oriented individuals to join our team as Product Cataloging QA Specialists. In this crucial role, you will be the final human checkpoint in our advanced Generative AI advertising analysis pipeline. Your primary responsibility is to ensure the accuracy of product-to-taxonomy mapping performed by our AI. You will analyze digital ads, manually identify the advertised products, find their correct ID within our product taxonomy, and verify if it matches the AI's conclusion. This position is ideal for someone with a keen eye for detail, strong research skills, and an interest in the intersection of AI and digital marketing. Key Responsibilities Creative Analysis: You will begin by opening the ad creative link (image or video), carefully examining the content to independently identify the specific product or service being advertised. Taxonomy Navigation and Search: Using your understanding of the product, you will search our comprehensive product taxonomy database to find the exact corresponding item and its unique Product ID. Accuracy Confirmation: You will compare the Product ID you identified through your manual search with the Product ID that our GenAI solution has identified. The core of your role is to validate whether the AI's mapping is correct. Data Correction: If the AI-identified Product ID is incorrect, you will update the record with the correct ID that you found, ensuring our database remains highly accurate. Feedback Loop: You will provide valuable feedback to the engineering team on the performance of the AI models, highlighting correct and incorrect matches to help improve their accuracy over time. Required Skills and Qualifications Exceptional Attention to Detail: You must be able to spot subtle product differences and inconsistencies. Strong Analytical and Research Skills: The ability to quickly understand an advertisement and efficiently search a large database/taxonomy to find specific information is essential. Logical Thinker: You need to be able to navigate a structured taxonomy and make accurate judgments based on product attributes. Digital Literacy: You should be comfortable navigating various social media platforms and websites. Self-Motivated: You need to be able to work independently and manage your time effectively to meet quality and productivity targets. Excellent Communication: Clear and concise communication skills are necessary for providing feedback. Preferred Qualifications Previous experience in product cataloging, e-commerce merchandising, or quality assurance (QA) in the field of product cataloging, e-commerce merchandising. Experience working with large databases, taxonomies, or product information management (PIM) systems. Familiarity with digital advertising and marketing concepts. Basic understanding of how AI and machine learning systems work.

Responsibilities: * Manage product listings on marketplaces * Process orders & fulfill products * Optimize catalog performance through e-commerce strategies * Collaborate with Shopify team for website integration

About The Role Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Alation Data Catalog Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with various teams to ensure that the integration between systems and data models is seamless, while also contributing to the overall architecture of the data platform. You will engage in discussions that shape the direction of data initiatives and work closely with Integration Architects and Data Architects to align on best practices and strategies for data management. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and discussions to gather requirements and feedback from stakeholders.- Mentor junior professionals in best practices and methodologies related to data architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Alation Data Catalog.- Strong understanding of data governance and management principles.- Experience with data integration tools and techniques.- Familiarity with cloud data platforms and services.- Ability to design and implement data models that support business needs. Additional Information:- The candidate should have minimum 15 years of experience in Alation Data Catalog.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

You have over 5 years of experience in SAP Ariba Upstream Module, including implementation and support. You possess a strong understanding and practical experience in Ariba Sourcing Projects, RFX, Auctions, Contract Management, and SLP. Additionally, you have integration knowledge with various backend ERP systems for Master data objects replication. Knowledge of CIG integration would be an added advantage for this role. Your communication skills are excellent, both written and verbal, with the ability to engage effectively with technical teams and executive leaders. You are comfortable working independently and collaboratively within a team, demonstrating self-motivation in your work. Your experience includes hands-on work in building interfaces with SAP and Legacy Systems, with familiarity in IDOC, XML, and other related technologies. Furthermore, you have practical experience in documenting User Requirement Specifications, Functional Specifications, and Training documents. Your familiarity with tools such as Remedy, HP Application Life Cycle Management, and SAP Solution Manager is an asset. You also have knowledge of Ariba Integration (Cloud Integration Gateway) with multiple backend ERP systems, along with experience in Config/Organization and master data replication from ERP systems to Ariba. In addition to the above, you have 5-8 years of experience and have completed at least one implementation in Ariba Downstream. You possess functional experience in both upstream and downstream integration, with a good understanding of procurement processes, Commerce Automation, and the Ariba Network. Your expertise includes working on Catalog, Guided buying (optional), and Invoicing processes, as well as being well-versed in Approval Workflows. Your language proficiency in English is fluent, enabling effective communication at various business levels. You are proactive in system monitoring for issue resolution, resolving production support tickets, and rolling out downstream processes for new regions. Rigorous testing is part of your process before system deliveries, and you excel in master data maintenance. Additionally, you conduct hand-holding and training sessions with users for new entities.,

Job description Design and develop solutions within a multi-functional Agile team to support key business needs for WebSphere Commerce/ HCL Commerce application. Design, implement, and test back-end solutions for eCommerce websites. Design, implement, and test web service applications for Order, Payment, Catalog, and Member modules. Apply software engineering best practices. Troubleshoot technical issues, perform root cause analysis, and take appropriate action to remediate issues. Collaborate effectively with technical and non-technical stakeholders. Must be able to document and demonstrate technical solutions by developing documentation, diagrams, code comments, etc. Development and support for enterprise-grade e-commerce websites (HCL Commerce/IBM WebSphere Commerce) using e.g., Java, JavaScript, SQL, and REST Mentoring and guidance of junior developers Migration of legacy applications to modern container-based microservice architectures SKILLS & EXPERIENCE REQUIRED Proven experience in delivering large-scale architecture change projects in ecommerce, retail, or manufacturing. Proven technical leadership skills with an internal team within a client facing environment. An understanding of web technologies and an appreciation for capacity and performance design considerations Essential to have a good understanding of IBM WebSphere Commerce (WC v7 or WC v8)/ HCL Commerce v9 functional and technical architecture including design and development best practice and the associate technologies: WebSphere Commerce (WC) functional architecture (e.g., store, catalog, merchandising, marketing, orders) WC frameworks (e.g., Command framework, MVC,), WC Search Common WC data models (User, Orders, Catalogs, Promotions etc.) WC messaging infrastructure (inbound and outbound, REST, MQ, BOD) WC persistence layer (SDO and EJB/access/data beans) WC development environment, SCM and GIT repos SOLR search, IBM DB2 Database Demonstrate and develop to WC best practices, especially with regards to security and customizations Have a working knowledge of Dynacache An understanding of WC deployment models (e.g., 3-tier, de-coupled storefront/search) Java and J2EE development (e.g., JSP, EJB, JPA, Struts, Spring, core JAVA) Develop performant and secure code (incl. SQL) for high-traffic production use, following pre-defined principles and guidelines. Working knowledge of application server technologies (e.g., WebSphere Application Server) including clustered environments Working experience of the Atlassian Tooling (JIRA, Confluence) Excellent problem-solving skills. Excellent written (documentation) and oral communication skills, in a role which will be regularly customer facing. Effective time management and an ability to deliver to deadlines working in a Scrum methodology. Ability to work collaboratively with both local and offshore teams and developers ADDITIONAL/ DESIRABLE SKILLS Previous experience of working in an Agile environment Experience developing headless WebSphere Commerce/ HCL Commerce solutions. An interest in the ongoing developments of WebSphere Commerce/ HCL Commerce (e.g., xC programming model, JPA) Have good front-end development skills in HTML, CSS, and JS frameworks (e.g., jQuery) and are familiar with Ajax. Web-tier configuration experience (e.g., Apache, IIS) Having worked on solutions utilizing edge-caches and CDNs Qualifications Previous experience of working in an Agile environment. Experience developing headless WebSphere Commerce/ HCL Commerce solutions. An interest in the ongoing developments of WebSphere Commerce/ HCL Commerce (e.g., xC programming model, JPA)

First Brands Group, LLC is the parent company of many of the automotive industry's most recognizable OEM and Aftermarket brands. First Brands Group is a privately held organization and leader in automotive repair and maintenance products. Headquartered in Cleveland, Ohio with operations found around the globe. We are a team of professionals dedicated to building profitable, enduring growth among all our customers with an unrelenting drive to exceed customers expectations. Designed and engineered with Original Equipment rigor and quality, our products serve vehicle manufacturers, technicians and drivers everywhere. If you are looking for curious self-starters with a willingness to explore and motivation to find growth opportunities, we have an exciting opportunity for candidates who would like to join a global company in continuous growth! Purpose of this role : First Brands Group is looking for a Catalog Analyst to support its catalog and e-Data strategy . Role will be responsible for creating, maintaining, and distribution of product and catalog data. This position will collaborate closely with our US based catalog, product management , and product engineering teams to execute these job duties. Primary Job Tasks and Responsibilities Primary responsibilities involve managing catalog data activities for assigned product lines ( ACES, PIES , Digital Assets, and content delivery to customers) New part introduction Coverage expansion Coverage holes reporting Interchange maintenance Application research Any customer data needs Product attribute maintenance Data delivery for all data receivers Knowledge/Experience Experienced with industry data standards (ACES, PIES) Experienced with OE application research for the US and Canadian vehicle population Exceptional computer skills (primarily Microsoft Access and Excel) Knowledge of product research techniques and tools (part fitment, OEM and competitive part evaluation) Background working with multiple teams and SMEs to deliver on catalog projects Self-motivated with critical thinking, communication, and problem-solving skills Education, Skills Requirements Bachelor of Engineering (Mechanical / Electrical Engineering or relevant degree with Catalog experience) Preferred minimum of 3-5 years demonstrated automotive, catalog or database / Data Analyst experience Self-motivated, disciplined time management, able to work in a fast-paced environment Working knowledge of the Auto Care Association ACES and PIES standards. Excellent in communication skills

Responsibilities: * Manage product listings on e-commerce platform * Maintain accurate catalog data & pricing information * Connect with vendors and designers for catalog updation