3 Dremio Jobs

Role & responsibilities Proficiency in Python programming, including libraries like NumPy, Pandas. Experience with Dremio and/or Azure Data Lake Experience with data modeling, ETL (Extract, Transform, Load) processes, and data warehousing. Strong understanding of relational databases (Oracle, MS SQL) and SQL query optimization. Familiarity with cloud platforms. Excellent problem-solving skills and ability to work independently or as part of a team. Excellent oral and written communication skills Proven conceptual, analytical, and judgmental skills and ability to multitask.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Manager- Market Risk- Business Analyst In this role, role you will be responsible to provide a single point end to end accountability for the project oversight, reporting to project management team, establish working relationship with technology partners etc. We are seeking an experienced Agile Business Analyst (BA) Manager /Senior Manager to join our team for Market Risk. The ideal candidate will have a strong background in market risk VaR, FRTB, back testing and PnL attribution and market risk stress testing. Responsibilities . Conduct impact assessments and define business solutions to support regulatory enhancements and internal risk transformation programs. . Support implementation of enhancements to risk models, reporting frameworks, and attribution methodologies. . Participate in the design and execution of testing strategies including functional testing, back testing, and model validation. . Perform detailed analysis of risk and PnL data to support attribution analysis and ensure data integrity across systems. . Collaborate on the migration of legacy models and platforms to modernized risk infrastructure. . Independently manage medium to large projects through the lifecycle and use BA tools proficiently (business requirement documents, functional specification documents, data matrix, Workflow Diagrams etc.) . Run test management processes for medium to large scale projects (Test Strategy/Approach documentation, managing User Acceptance Testing, building test plans and test scenarios, building implementation plans.) . Assist our stakeholder businesses with their tactical/strategic solution requirements, services and/or program. . Must be able to work with Technology, Risk Management, Risk Middle Office, and Front Office to identify and maximize opportunities that help in delivery of projects and to improve product, service and program business processes. . Must have the ability to work with a team and train people on various subjects, structure the project . governance model and also work together with regional counterparts to devise induction framework for all the resources entering into the project. . Prepare project reports (weekly project update, monthly status update, highlighting risks, resource . utilization, analyses trend, recommends adjustments that address or capitalize on these changes.) Qualifications we seek in you! Minimum Qualifications . Relevant of experience as a Business Analyst within Market Risk or Risk Technology in an investment bank or similar financial institution. . Strong understanding of market risk concepts such as VaR, sensitivities, stress testing, back testing, and PnL attribution. . Familiarity with regulatory frameworks such as Basel (2.5/III) and capital calculation methodologies is a plus. . Knowledge of capital regulations (FRTB and Standardized approaches) . Sound understanding of financial products and risk methodology across all asset classes. . Ability to operate in both agile and waterfall style project methodologies and have an understanding of deliverables required for each methodology. . Attention to detail and high-quality standards of documentation, processes and control environment. . Experience in the full E2E systems delivery lifecycle (SDLC). . Detailed knowledge of all Microsoft Office products, i.e. Word, Excel, Power Point, Project and Visio. . Proficiency in data analysis, virtualization and BI solutions - SQL, Python, Denodo, Dremio, PowerBI , Alteryx, Tableau etc. . Excellent Communication, Organization and Documentation Skills. . Flexibility (Openness to Change) - Adapts effectively to changing plans, domains and priorities Is open and flexible when faced with changing project constraints. . Deals comfortably with ambiguity - Stays on target to complete goals regardless of obstacles or adverse circumstances. . Rigorous follow ups through on all commitments to achieve results. . Excellent and demonstrable understanding of &ldquobest practice approaches to functional testing especially User Acceptance Testing. . Ability to identify any inefficiencies in processes and suggest ideas for automation and/or operating . model changes. Preferred Qualifications/ Skills . Relevant experience: Proven experience as a business analyst within market risk or risk technology in an investment bank or similar financial institution. . Market risk expertise: Strong understanding of market risk concepts, including value at risk (VaR), sensitivities, stress testing, back testing, and profit and loss (PnL) attribution. . Regulatory knowledge: Familiarity with regulatory frameworks such as Basel 2.5/III and capital calculation methodologies. Knowledge of capital regulations like the Fundamental Review of the Trading Book (FRTB) and standardized approaches is advantageous. . Financial product understanding: Sound knowledge of financial products and risk methodology across all asset classes. . Project methodologies: Ability to operate in both agile and waterfall project methodologies, with a clear understanding of deliverables required for each approach. . Attention to detail: High-quality standards in documentation, processes, and control environments. . Systems delivery lifecycle: Experience in the full end-to-end systems delivery lifecycle (SDLC). . Technical proficiency: Detailed knowledge of Microsoft Office tools (Word, Excel, PowerPoint, Project, Visio). Proficiency in data analysis, virtualization, and business intelligence solutions such as SQL, Python, Denodo, Dremio, Power BI, Alteryx, and Tableau. . Communication and organization: Excellent communication, organization, and documentation skills. . Adaptability: Flexibility to adapt effectively to changing plans, domains, and priorities. Open to change when faced with shifting project constraints. . Ambiguity management: Ability to deal comfortably with ambiguity and stay focused on achieving goals despite obstacles or adverse circumstances. . Follow-through: Rigorous follow-up on commitments to achieve results. . Testing expertise: Demonstrable understanding of best practices for functional testing, especially user acceptance testing (UAT). . Process improvement: Ability to identify inefficiencies in processes and suggest ideas for automation or operating model changes. Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Mercer PDE team is seeking candidates for the following position based in Noida and gurgaon location What can you expect? As a Lead Software Engineer at Mercer, you will be a key member of our strategic engineering group, embodying best practices, quality, and the overarching engineering vision. You will be actively involved in identifying and delivering advanced technology opportunities based on Generative AI, New AI models, Chatbot etc. You will also be expected to contribute and improve the delivery methodology and practice keeping pace with the market and new technologies. This hands-on position requires you to be a product builder who leads by example, ensuring the successful delivery of solutions that adhere to the principles of Qualitative Engineering, which include: Security Scalability Reliability Maintainability Testability AI Integration You will be designing, developing, and deploying Web and AI solutions that meet the needs and expectations of the clients and the users. Building awareness around the challenges and the best practices that are involved in working with AI and striving to overcome them and improve skills. Additionally, you should have knowledge of cloud platforms such as AWS and Azure. What is in it for you? Discover what's great about working at Marsh McLennan from the opportunities that our size brings, to our commitment to our communities and understanding the benefits youll receive. We are four businesses with one PURPOSE: helping companies meet the challenges of our time. As a global leader in insurance broking and risk management, we are devoted to finding diverse individuals who are committed to the success of our clients and our organisation. Joining us will provide a solid foundation for you to accelerate your career in the risk and insurance industry. You will join a team of talented professionals from across the globe which is dedicated to helping clients manage some of the world's most challenging and complex risks. We can promise you extraordinary challenges, extraordinary colleagues, and the opportunity to make a difference. Our rich history has created a client service culture that we believe is second to none. Our commitments to Diversity and Inclusion, Corporate Social Responsibility, and sustainability demonstrate our commitment to stand for what is right. Key Responsibilities: Design, implement, and test novel artificial intelligence models and algorithms that can learn from diverse and complex data sources and perform multiple tasks across different domains. Write high-quality code based on Agile user stories, ensuring adherence to coding standards and guidelines through unit testing. Integrate AI solutions into existing products and new developments, aligning AI practices with organizational goals. Collaborate with data scientists and AI specialists to implement machine learning models and AI-driven features. Actively participate in the MMC Technology community, contributing to discussions, collaborations, and learning opportunities. Demonstrate strong problem-solving skills and promote the principles of reuse across teams and the organization. Advocate for best practices and principles within the organization. Champion agile practices that are foundational to successful product delivery. Foster a diverse, inclusive, and collaborative work environment where all ideas and opinions are valued. Build strong relationships with product owners, solutions architects, analysts, and leadership to ensure alignment with business objectives. Utilize state-of-the-art technologies to address real-world challenges, including AI and machine learning applications. Conduct experiments and evaluations to measure and improve the performance, robustness, and scalability of general artificial intelligence systems. Stay updated on the latest developments and trends in artificial intelligence research and applications. Write clean, readable, and testable code that follows best practices and standards. Communicate and document the results and insights of general artificial intelligence projects to internal and external stakeholders . What we are looking for: We are seeking an experienced full stack Software Engineer with a proven track record of working on multiple products, particularly those that leverage AI technologies. The ideal candidate will possess: Strong communication skills, enabling effective interaction with both technical and non-technical colleagues in a cross-functional environment. A successful history of delivering software across a diverse range of languages, technologies, and platforms, including AI integrations. Experience providing opportunities, training, and mentorship to software engineers, particularly in AI and machine learning. Familiarity with Agile at Scale, Lean, and Continuous Delivery methodologies, including Continuous Integration, Test-Driven Development, and Infrastructure as Code. Experience with cloud-native software architectures and deploying AI solutions in cloud environments. Proven experience in security-driven design practices and addressing SAST/DAST findings. Proficiency in CI/CD and DevOps practices, including the use of Quality Gates to maintain high code quality. API Development - Develop rest APIs with right set of guardrails using NestJS, NodeJS, Python and other technologies. Machine learning: the process of creating and training models that can learn from data and make predictions or decisions. Natural language processing: the field of AI that deals with understanding and generating natural language, such as text and speech. Computer vision: the field of AI that deals with analyzing and interpreting visual information, such as images and videos. Reinforcement learning: a type of machine learning that involves learning from trial and error by interacting with an environment and receiving rewards or penalties. Data science: the practice of collecting, cleaning, analyzing, and visualizing data to gain insights and solve problems. Technical Skills and Qualifications Required Extensive experience across multiple programming languages and frameworks, with deep expertise in at least one of the following: JavaScript, TypeScript. Strong python language expertise with working experience on GenAI applications. Strong experience with frameworks such as Angular, Node.js, Nest.js and Less (Sass). Essential experience in Unit Testing and Integration Testing. Familiarity with AI & NLP frameworks and libraries (e.g., TensorFlow, PyTorch, LangFlow, Scikit-learn, NLTK) is highly desirable. Experience with middleware technologies such as Kafka, NServiceBus, Camunda, Dremio, and RabbitMQ is a plus. Proficiency in container technologies like Docker and Kubernetes. Demonstrated experience in refactoring, implementing design patterns, design-driven development, continuous integration, system and application design, application security, and AI model deployment. Strong experience with ORM frameworks and databases, including TSQL and NoSQL databases such as MSSQL and MongoDB. Solid understanding of SDLC processes and practices, with experience using tools such as Confluence, JIRA, ADO, and GitHub. Experience designing and deploying applications on cloud infrastructure with providers like AWS and Microsoft Azure, particularly in relation to AI services. Familiarity with the MEAN or MERN stack. Experience with consumption and training of SLLMs. What makes you stand out? BTech/ MCA degree Strong knowledge of Generative AI and artificial intelligence concepts, techniques, and tools, such as LLMs, SLLM,s, Agentic AI, neural networks, reinforcement learning, natural language processing, computer vision, knowledge representation, and reasoning. Prior experience in working with AI/ ML and Generative AI models. Join us at Mercer, where you will have the opportunity to lead innovative engineering initiatives and shape the future of our software solutions. We look forward to your application!