Role Overview: As the Global Expert in Master Data OASIS, you will play a crucial role in governing, maintaining, and enhancing the OASIS platform for Master Data Governance. Your responsibilities include ensuring all master data requests for Customers, Vendors, and Materials are processed through OASIS workflows and integrated with SAP PCE in compliance with global governance standards, APAP processes, and regulatory requirements. Key Responsibilities: - Own the OASIS Master Data Governance platform, ensuring system stability, enhancements, and alignment with global master data policies. - Define and maintain governance workflows in OASIS for Customers, Vendors, and Materials in collaboration with domain experts Sergio and Aaron. - Ensure seamless integration between OASIS workflows and SAP PCE workflows. - Collaborate with Business Governance (Mangesh) and IT Domain Experts (Sergio, Aaron) to translate governance rules into OASIS technical processes. - Implement governance controls in OASIS to enforce proper documentation uploads, Dow Jones screening triggers, and validation rules for material types, valuation classes, and product stewardship documentation. - Act as the escalation point for OASIS-related issues, workflows stuck in error, or integration failures. - Drive system improvements, automation, and reporting for Master Data requests handled through OASIS. - Provide global training and user support for OASIS workflows. - Support internal and external audits by ensuring traceability and compliance of Master Data requests. Qualifications & Experience: - 5-7 years of IT experience with a strong focus on Master Data Governance systems like SAP MDG, OASIS, or equivalent. - Strong functional and technical knowledge of SAP Customer, Vendor, and Material Master data. - Expertise in workflow design and integration between governance platforms and SAP. - Hands-on experience in Master Data request processes (Customers, Vendors, Materials) and global governance models. - Familiarity with compliance frameworks such as SOX, KYC, Dow Jones screening, and audit traceability. - Background in global data harmonization, master data cleanup, and migration initiatives. - Strong analytical, troubleshooting, and process improvement skills. - Excellent communication skills and ability to collaborate effectively with both business stakeholders and IT teams. Role Overview: As the Global Expert in Master Data OASIS, you will play a crucial role in governing, maintaining, and enhancing the OASIS platform for Master Data Governance. Your responsibilities include ensuring all master data requests for Customers, Vendors, and Materials are processed through OASIS workflows and integrated with SAP PCE in compliance with global governance standards, APAP processes, and regulatory requirements. Key Responsibilities: - Own the OASIS Master Data Governance platform, ensuring system stability, enhancements, and alignment with global master data policies. - Define and maintain governance workflows in OASIS for Customers, Vendors, and Materials in collaboration with domain experts Sergio and Aaron. - Ensure seamless integration between OASIS workflows and SAP PCE workflows. - Collaborate with Business Governance (Mangesh) and IT Domain Experts (Sergio, Aaron) to translate governance rules into OASIS technical processes. - Implement governance controls in OASIS to enforce proper documentation uploads, Dow Jones screening triggers, and validation rules for material types, valuation classes, and product stewardship documentation. - Act as the escalation point for OASIS-related issues, workflows stuck in error, or integration failures. - Drive system improvements, automation, and reporting for Master Data requests handled through OASIS. - Provide global training and user support for OASIS workflows. - Support internal and external audits by ensuring traceability and compliance of Master Data requests. Qualifications & Experience: - 5-7 years of IT experience with a strong focus on Master Data Governance systems like SAP MDG, OASIS, or equivalent. - Strong functional and technical knowledge of SAP Customer, Vendor, and Material Master data. - Expertise in workflow design and integration between governance platforms and SAP. - Hands-on experience in Master Data request processes (Customers, Vendors, Materials) and global governance models. - Familiarity with compliance frameworks such as SOX, KYC, Dow Jones screening, and audit traceability. - Background in global data harmonization, master data cleanup, and migration initiatives. - Strong analytical, troubleshooting, and process improvement skills. - Excellent communication skills and ability to collaborate effectively with both business stakeholders and IT teams.
As a Senior Software Development Lead specializing in the Mulesoft platform, you will be responsible for leading the design, development, and deployment of scalable and secure ETL and integration solutions using Dell Boomi. Your role will involve collaborating with business and technical teams to gather requirements, optimize existing processes, and provide production support for integration-related issues. Key Responsibilities: - Design and build scalable and performant ETL workflows using Dell Boomi. - Develop and deploy integration processes on the Dell Boomi AtomSphere platform. - Translate integration requirements into technical specifications. - Connect various systems such as ERPs, CRMs, databases, and cloud services through integration processes. - Monitor and optimize integration processes for performance and reliability. - Implement exception handling, logging, and alerting frameworks within integration flows. - Coordinate with QA teams to ensure comprehensive testing of integrations. - Document integration designs, configurations, and standard operating procedures. - Offer production support and conduct root cause analysis for integration-related issues. Required Skills: - 5-10 years of experience in Dell Boomi integration/ETL workflow development. - Hands-on experience with Boomi Atom/Molecule/Cloud Atom deployment models. - Proficiency in designing and developing Boomi processes, connectors, and APIs. - Deep understanding of integration patterns, web services (SOAP/REST), data transformation, and error handling. - Strong skills in XML, XSLT, JSON, SQL, and scripting languages. - Knowledge of data security and compliance requirements in data integration. - Experience with Boomi Process Reporting, Environment Management, and API Management. - Familiarity with SQL queries and Stored Procedures. Good to Have: - Experience with other ETL tools like Talend, Informatica, or Azure Data Factory. - Knowledge of cloud platforms such as AWS, Azure, or GCP. - Proficiency in CI/CD, version control (Git), and DevOps practices. - Understanding of Agile/Scrum methodologies and tools like Jira/Confluence. As a Senior Software Development Lead specializing in the Mulesoft platform, you will be responsible for leading the design, development, and deployment of scalable and secure ETL and integration solutions using Dell Boomi. Your role will involve collaborating with business and technical teams to gather requirements, optimize existing processes, and provide production support for integration-related issues. Key Responsibilities: - Design and build scalable and performant ETL workflows using Dell Boomi. - Develop and deploy integration processes on the Dell Boomi AtomSphere platform. - Translate integration requirements into technical specifications. - Connect various systems such as ERPs, CRMs, databases, and cloud services through integration processes. - Monitor and optimize integration processes for performance and reliability. - Implement exception handling, logging, and alerting frameworks within integration flows. - Coordinate with QA teams to ensure comprehensive testing of integrations. - Document integration designs, configurations, and standard operating procedures. - Offer production support and conduct root cause analysis for integration-related issues. Required Skills: - 5-10 years of experience in Dell Boomi integration/ETL workflow development. - Hands-on experience with Boomi Atom/Molecule/Cloud Atom deployment models. - Proficiency in designing and developing Boomi processes, connectors, and APIs. - Deep understanding of integration patterns, web services (SOAP/REST), data transformation, and error handling. - Strong skills in XML, XSLT, JSON, SQL, and scripting languages. - Knowledge of data security and compliance requirements in data integration. - Experience with Boomi Process Reporting, Environment Management, and API Management. - Familiarity with SQL queries and Stored Procedures. Good to Have: - Experience with other ETL tools like Talend, Informatica, or Azure Data Factory. - Knowledge of cloud platforms such as AWS, Azure, or GCP. - Proficiency in CI/CD, version control (Git), and DevOps practices. - Understanding of Agile/Scrum methodologies and tools like Jira/Confluence.
Role Overview: As the Agentic AI Lead, you will play a crucial role in spearheading the research, development, and implementation of semi-autonomous AI agents to tackle intricate enterprise challenges. Your responsibilities will include leveraging LangGraph to construct multi-agent AI systems with enhanced autonomy, adaptability, and decision-making capabilities. You are expected to possess profound knowledge in LLM orchestration, knowledge graphs, reinforcement learning, and practical AI applications, positioning yourself as a pioneer in the domain of next-gen AI automation. Key Responsibilities: - Architecting & Scaling Agentic AI Solutions - Design and build multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. - Develop memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across diverse domains. - Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. - Hands-On Development & Optimization - Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. - Implement knowledge graphs, vector databases, and retrieval-augmented generation techniques for enhanced agent reasoning. - Apply reinforcement learning methodologies to fine-tune AI agents for improved decision-making. - Driving AI Innovation & Research - Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. - Stay abreast of advancements in multi-agent systems, AI planning, and goal-directed behavior, and apply best practices to enterprise AI solutions. - Prototype and experiment with self-learning AI agents that adapt autonomously based on real-time feedback loops. - AI Strategy & Business Impact - Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. - Lead Agentic AI proof-of-concept (PoC) projects that showcase tangible business impact and scale successful prototypes into production. - Mentorship & Capability Building - Lead and mentor a team of AI Engineers and Data Scientists, nurturing deep technical expertise in LangGraph and multi-agent architectures. - Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. Qualifications Required: - Hands-on experience with Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, and Statistical analysis. - Proficiency in Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting techniques, Classification algorithms, ML Frameworks, and Distance metrics. - Strong background in AI research, development, and deployment, particularly in the areas of LangGraph, LLM orchestration, and reinforcement learning. Role Overview: As the Agentic AI Lead, you will play a crucial role in spearheading the research, development, and implementation of semi-autonomous AI agents to tackle intricate enterprise challenges. Your responsibilities will include leveraging LangGraph to construct multi-agent AI systems with enhanced autonomy, adaptability, and decision-making capabilities. You are expected to possess profound knowledge in LLM orchestration, knowledge graphs, reinforcement learning, and practical AI applications, positioning yourself as a pioneer in the domain of next-gen AI automation. Key Responsibilities: - Architecting & Scaling Agentic AI Solutions - Design and build multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. - Develop memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across diverse domains. - Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. - Hands-On Development & Optimization - Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. - Implement knowledge graphs, vector databases, and retrieval-augmented generation techniques for enhanced agent reasoning. - Apply reinforcement learning methodologies to fine-tune AI agents for improved decision-making. - Driving AI Innovation & Research - Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. - Stay abreast of advancements in multi-agent systems, AI planning, and goal-directed behavior, and apply best practices to enterprise AI solutions. - Prototype and experiment with self-learning AI agents that adapt autonomously based on real-time feedback loops. - AI Strategy & Business Impact - Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. - Lead Agentic AI proof-of-concept (P
As a Principal Data Engineer at Brillio, you will be responsible for utilizing your expertise in Data Modeling, specifically with tools like ER Studio and ER Win. Your role will involve working closely with clients to deliver physical and logical model solutions, with a strong focus on Data Lake/ODS, ETL concepts, and modeling structure principles. Additionally, you will be expected to have experience in Data Warehousing, including Dimensions, Facts, and Data modeling. Your excellent communication skills and ability to lead teams will be crucial in this role. Key Responsibilities: - Collaborate with clients to develop and implement Data Modeling solutions - Utilize tools like ER Studio and other Data Modeling platforms for large volume-based environments - Apply your expertise in Entity Relationship Modeling and Database Designing Administration - Develop SQL queries for investigation and analysis purposes Qualifications Required: - Bachelor's degree in IT or related field - 10+ years of overall IT experience with a minimum of 2+ years in Snowflake and Data Modeling - Proficiency in Data Modeling concepts at an advanced level - Strong understanding of Database space, including Databases, Data Warehouses, Reporting, and Analytics - Experience with AWS eco systems is a plus About Brillio: Brillio is a rapidly growing digital technology service provider known for its innovative digital adoption solutions. With a team of world-class professionals known as "Brillians," Brillio is committed to integrating cutting-edge digital skills with client satisfaction. The company's emphasis on contemporary technologies and exclusive digital projects has earned it recognition as a Great Place to Work year after year, attracting exceptional talent and fostering individual potential. As a Principal Data Engineer at Brillio, you will be responsible for utilizing your expertise in Data Modeling, specifically with tools like ER Studio and ER Win. Your role will involve working closely with clients to deliver physical and logical model solutions, with a strong focus on Data Lake/ODS, ETL concepts, and modeling structure principles. Additionally, you will be expected to have experience in Data Warehousing, including Dimensions, Facts, and Data modeling. Your excellent communication skills and ability to lead teams will be crucial in this role. Key Responsibilities: - Collaborate with clients to develop and implement Data Modeling solutions - Utilize tools like ER Studio and other Data Modeling platforms for large volume-based environments - Apply your expertise in Entity Relationship Modeling and Database Designing Administration - Develop SQL queries for investigation and analysis purposes Qualifications Required: - Bachelor's degree in IT or related field - 10+ years of overall IT experience with a minimum of 2+ years in Snowflake and Data Modeling - Proficiency in Data Modeling concepts at an advanced level - Strong understanding of Database space, including Databases, Data Warehouses, Reporting, and Analytics - Experience with AWS eco systems is a plus About Brillio: Brillio is a rapidly growing digital technology service provider known for its innovative digital adoption solutions. With a team of world-class professionals known as "Brillians," Brillio is committed to integrating cutting-edge digital skills with client satisfaction. The company's emphasis on contemporary technologies and exclusive digital projects has earned it recognition as a Great Place to Work year after year, attracting exceptional talent and fostering individual potential.
Role Overview: You will lead the design, development, and implementation of robust and scalable .NET Core APIs. Collaborate with cross-functional teams to gather requirements and architect solutions. Stay current with industry trends and best practices, particularly in cloud technologies. Mentor junior developers and provide technical guidance and support. Key Responsibilities: - Hands-on coding and debugging of API components to ensure high performance and reliability. - Extensive experience in developing .NET APIs using C#. - Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform. - Demonstrated expertise in designing and implementing RESTful APIs. - Solid understanding of software development methodologies and practices. - Excellent communication skills and ability to collaborate effectively with teams. - Knowledge of microservices architecture. - Familiarity with DevOps practices and tools. Qualifications Required: - Hands-on Knowledge on SQL queries - Demonstrated expertise in designing and implementing RESTful APIs. - Extensive experience in developing .NET APIs using C#. - Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform. - Solid understanding of software development methodologies and practices. - Knowledge of microservices architecture. Role Overview: You will lead the design, development, and implementation of robust and scalable .NET Core APIs. Collaborate with cross-functional teams to gather requirements and architect solutions. Stay current with industry trends and best practices, particularly in cloud technologies. Mentor junior developers and provide technical guidance and support. Key Responsibilities: - Hands-on coding and debugging of API components to ensure high performance and reliability. - Extensive experience in developing .NET APIs using C#. - Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform. - Demonstrated expertise in designing and implementing RESTful APIs. - Solid understanding of software development methodologies and practices. - Excellent communication skills and ability to collaborate effectively with teams. - Knowledge of microservices architecture. - Familiarity with DevOps practices and tools. Qualifications Required: - Hands-on Knowledge on SQL queries - Demonstrated expertise in designing and implementing RESTful APIs. - Extensive experience in developing .NET APIs using C#. - Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform. - Solid understanding of software development methodologies and practices. - Knowledge of microservices architecture.
Job Description: You are a skilled Cloud Engineer with expertise in Azure Cloud, Cloud Automation, and Vulnerability Analysis across AWS, Linux, and OS-level environments. You have experience in EKS, Python, and cloud platforms like AWS and Azure. Key Responsibilities: - Design, implement, and manage cloud automation solutions for Azure and AWS environments. - Conduct vulnerability analysis across AWS, Linux, and OS levels, identifying and implementing necessary fixes. - Deploy and manage EKS clusters while ensuring high availability and security. - Develop scripts and automation tools using Python to improve cloud infrastructure efficiency. - Work with DevOps teams to enhance CI/CD pipelines and cloud security best practices. - Troubleshoot cloud infrastructure issues and optimize performance. - Collaborate with security and operations teams to implement best practices for cloud governance and compliance. Required Skills: - Primary Skills: Azure Cloud Engineering, Cloud Automation, Vulnerability Analysis (AWS, Linux, OS-level fixes). - Secondary Skills: AWS, EKS. - Strong hands-on experience with Azure and AWS cloud services. - Expertise in scripting and automation using Python. - Experience with container orchestration using EKS (Elastic Kubernetes Service). - Good understanding of security best practices and vulnerability remediation in cloud environments. Preferred Skills: - Experience in multi-cloud environments (AWS & Azure). - Strong analytical and troubleshooting skills. - Certification in Azure/AWS would be a plus. Job Description: You are a skilled Cloud Engineer with expertise in Azure Cloud, Cloud Automation, and Vulnerability Analysis across AWS, Linux, and OS-level environments. You have experience in EKS, Python, and cloud platforms like AWS and Azure. Key Responsibilities: - Design, implement, and manage cloud automation solutions for Azure and AWS environments. - Conduct vulnerability analysis across AWS, Linux, and OS levels, identifying and implementing necessary fixes. - Deploy and manage EKS clusters while ensuring high availability and security. - Develop scripts and automation tools using Python to improve cloud infrastructure efficiency. - Work with DevOps teams to enhance CI/CD pipelines and cloud security best practices. - Troubleshoot cloud infrastructure issues and optimize performance. - Collaborate with security and operations teams to implement best practices for cloud governance and compliance. Required Skills: - Primary Skills: Azure Cloud Engineering, Cloud Automation, Vulnerability Analysis (AWS, Linux, OS-level fixes). - Secondary Skills: AWS, EKS. - Strong hands-on experience with Azure and AWS cloud services. - Expertise in scripting and automation using Python. - Experience with container orchestration using EKS (Elastic Kubernetes Service). - Good understanding of security best practices and vulnerability remediation in cloud environments. Preferred Skills: - Experience in multi-cloud environments (AWS & Azure). - Strong analytical and troubleshooting skills. - Certification in Azure/AWS would be a plus.