3679 Querying Jobs - Page 28

Posted On: 17 Jul 2025 Location: Noida, UP, India Company: Iris Software Why Join Us? Are you inspired to grow your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies ? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations ? It’s happening right here at Iris Software. About Iris Software At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Working at Iris Be valued, be inspired, be your best. At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow. Our employee value proposition (EVP) is about “Being Your Best” – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version. Job Description Angular 6 or above Java Script and JS Framework Experience in any RDBMS, Oracle preferred JD as per Taleo: Strong experience in Angular, Java script and JS frameworks (Angular) Should have worked on Angular Material. He should have good fundamental knowledge of Rest Services, DB Querying. JMS, TDD, JQuery. Good knowledge in the Database (Ansi SQL ) Role requires him to work directly with client on a day on day basis. Must have lead 5-6 member team in onsite-offshore model. Ability to pick up new technologies Willingness to learn and understand the business domain Ability to work effectively within global team Excellent communication skills Good to have: Understanding of AWS/Cloud Working experience in Java 1.8 or above Mandatory Competencies User Interface - Other User Interfaces - JavaScript Beh - Communication User Interface - Angular - Angular Components and Design Patterns User Interface - HTML - HTML/CSS User Interface - Other User Interfaces - Typescript Perks and Benefits for Irisians At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, we're committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees' success and happiness.

YOE Required: 5-8 Years Location: Pune Type: Full Time Job Description: Overall knowledge of the Software Development Life Cycle and expertise in Microsoft .NET (C#, Web API, .Net Core) version 6 and above. Good experience in in API development, testing, and operational stability with proficient in coding. Experience in AWS services like EC2,S3,Lambda, DynamoDB,API Gateway. Experience in Angular UI development. Hands on experience with any SQL (MySQL/Oracle DB/SQL Server), No-Sql database. Experience in developing, debugging database querying languages and Elasticsearch. Strong analytical, problem solving, time management and organizational skills. Knowledge of Micro services based Architecture. Nice to have: Experience with JavaScript /JavaScript based frameworks. Must have good experience in Core DotNet -(API development, C#, Web API, .Net Core) version 6 and above. Experience in AWS services like EC2,S3,Lambda, DynamoDB,API Gateway. Have excellent understanding of SDLC Experience in Angular UI development. Incase you are interested, Please share your updated resume directly @ harnish.kaur@zenotis.com

DESCRIPTION TOC (Transportation Operation Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, TOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving TOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, TOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Purview of a Trans Ops Specialist A Trans Ops Specialist at TOC facilitates flow of information between different stakeholders (Trans Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. Trans Ops Specialist at TOC works across two verticals – Inbound and Outbound operations. Inbound Operations deals with Vendor/Carrier/FC relationship, ensuring that the freight is picked-up on time and is delivered at FC as per the given appointment. Trans Ops Specialist on Inbound addresses any potential issues occurring during the lifecycle of pick-up to delivery. Outbound Operations deals with FC/Carrier/Carrier Hub relationship, ensuring that the truck leaves the FC in order to delivery customer orders as per promise. Trans Ops Specialist on Outbound addresses any potential issues occurring during the lifecycle of freight leaving the FC and reaching customer premises. A Trans Ops Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. Trans Ops Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion. Responsibilities Include, But Are Not Limited To: Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers) Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus. Develop and/or understand performance metrics to assist with driving business results. Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by TOC. Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data. Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed. Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum. Providing real-time customer experience by working in 24*7 operating environment. A day in the life About The Hiring Group Job responsibilities A day in the life About The Hiring Group Job responsibilities BASIC QUALIFICATIONS Bachelor’s degree 10-24 months of work experience. Good communication skills - Trans Ops Specialist will be facilitating flow of information between external teams Proficiency in Advanced Excel (pivot tables, vlookups) Demonstrated ability to work in a team in a very dynamic environment PREFERRED QUALIFICATIONS Logistics background and lean/six sigma training is a plus Proficient in SQL Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Uttar Pradesh - F26 Job ID: A3036846

DESCRIPTION TOC (Transportation Operation Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, TOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving TOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, TOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Purview of a Trans Ops Specialist A Trans Ops Specialist at TOC facilitates flow of information between different stakeholders (Trans Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. Trans Ops Specialist at TOC works across two verticals – Inbound and Outbound operations. Inbound Operations deals with Vendor/Carrier/FC relationship, ensuring that the freight is picked-up on time and is delivered at FC as per the given appointment. Trans Ops Specialist on Inbound addresses any potential issues occurring during the lifecycle of pick-up to delivery. Outbound Operations deals with FC/Carrier/Carrier Hub relationship, ensuring that the truck leaves the FC in order to delivery customer orders as per promise. Trans Ops Specialist on Outbound addresses any potential issues occurring during the lifecycle of freight leaving the FC and reaching customer premises. A Trans Ops Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. Trans Ops Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion. Responsibilities Include, But Are Not Limited To: Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers) Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus. Develop and/or understand performance metrics to assist with driving business results. Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by TOC. Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data. Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed. Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum. Providing real-time customer experience by working in 24*7 operating environment. A day in the life About The Hiring Group Job responsibilities A day in the life About The Hiring Group Job responsibilities BASIC QUALIFICATIONS Bachelor’s degree 10-24 months of work experience. Good communication skills - Trans Ops Specialist will be facilitating flow of information between external teams Proficiency in Advanced Excel (pivot tables, vlookups) Demonstrated ability to work in a team in a very dynamic environment PREFERRED QUALIFICATIONS Logistics background and lean/six sigma training is a plus Proficient in SQL Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Uttar Pradesh - F26 Job ID: A3036848

Job Description Manager, Scientific Data Engineering The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Join a team that is passionate about using data, analytics, and insights to drive decision-making and create custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company's IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps ensure we can manage and improve each location, from investing in the growth, success, and well-being of our people to making sure colleagues from each IT division feel a sense of belonging, to managing critical emergencies. Together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview Design, develop, and maintain data pipelines to extract data from various sources and populate a data lake and data warehouse. Work closely with data scientists, analysts, and business teams to understand data requirements and deliver solutions aligned with business goals. Build and maintain platforms that support data ingestion, transformation, and orchestration across various data sources, both internal and external. Use data orchestration, logging, and monitoring tools to build resilient pipelines. Automate data flows and pipeline monitoring to ensure scalability, performance, and resilience of the platform. Monitor, troubleshoot, and resolve issues related to the data integration platform, ensuring uptime and reliability. Maintain thorough documentation for integration processes, configurations, and code to ensure easy onboarding for new team members and future scalability. Develop pipelines to ingest data into cloud data warehouses. Establish, modify and maintain data structures and associated components. Create and deliver standard reports in accordance with stakeholder needs and conforming to agreed standards. Work within a matrix organizational structure, reporting to both the functional manager and the project manager. Participate in project planning, execution, and delivery, ensuring alignment with both functional and project goals. What Should You Have Bachelor’s degree in information technology, Computer Science or any Technology stream. 3+ years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context. Demonstrated expertise in delivering large-scale information management technology solutions encompassing data integration and self-service analytics enablement. Experienced in software/data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools). Ability to design, build and unit test applications on Spark framework on Python. Build PySpark based applications for both batch and streaming requirements, which will require in-depth knowledge on Databricks/ Hadoop. Experience working with storage frameworks like Delta Lake/ Iceberg Experience working with MPP Datawarehouse’s like Redshift Cloud-native, ideally AWS certified. Strong working knowledge of at least one Reporting/Insight generation technology Good interpersonal and communication skills (verbal and written). Proven record of delivering high-quality results. Product and customer-centric approach. Innovative thinking, experimental mindset. Mandatory Skills Skill Category Skills Foundational Data Concepts SQL (Intermediate / Advanced) Python (Intermediate) Cloud Fundamentals (AWS Focus) AWS Console, IAM roles, regions, concept of cloud computing AWS S3 Data Processing & Transformation Apache Spark (Concepts & Usage) Databricks (Platform Usage), Unity Catalog, Delta Lake ETL & Orchestration AWS Glue (ETL, Catalog), Lambda Apache Airflow (DAGs and Orchestration) or other orchestration tool dbt (Data Build Tool) Matillion (or similar ETL tool) Data Storage & Querying Amazon Redshift / Azure Synapse Trino / Equivalent AWS Athena / Query Federation Data Quality & Governance Data Quality Concepts / Implementation Data Observability Concepts Collibra / equivalent tool Real-time / Streaming Apache Kafka (Concepts & Usage) DevOps & Automation CI / CD concepts, Pipelines (GitHub Actions / Jenkins / Azure DevOps) Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills Job Posting End Date 08/20/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R353508

Company Description ThreatXIntel is a startup cyber security company focused on protecting businesses and organizations from cyber threats. We offer services such as cloud security, web and mobile security testing, cloud security assessment, and DevSecOps. Our goal is to provide customized and affordable cyber security solutions to businesses of all sizes, ensuring their digital assets are secure. Role Description We are seeking a freelance Data Analyst with hands-on expertise in Annuity and Life Insurance data lifecycles. You will work closely with business stakeholders to analyze, interpret, and map out insurance data, supporting ongoing digital initiatives and reinsurance deal implementations. Key Responsibilities: Perform data discovery, cleansing, transformation, and modeling to support Life and Annuity business needs Translate business requirements into technical specifications and data mappings Collaborate with business and IT teams to identify root causes and data-driven solutions Support reinsurance deal implementations with solid knowledge of Annuity and Life cycles Work with offshore teams and ensure timely delivery of assigned tasks Write clear and maintainable SQL queries, documentation, and data specifications Required Qualifications: 3+ years as a Data Analyst, ideally within IT or Insurance settings Strong working knowledge of the Life and Annuity data lifecycle Experience in implementing insurance deals, including reinsurance data handling Proficient in SQL and querying structured data from relational databases Ability to document source-to-target mappings and business data definitions Preferred Skills: Prior experience in Life Insurance policy administration systems Familiarity with regulatory reporting and actuarial data requirements Strong communication and presentation skills for working with business stakeholders Experience working in hybrid global delivery models (onshore-offshore collaboration)

DESCRIPTION TOC (Transportation Operation Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, TOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving TOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, TOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Purview of a Trans Ops Specialist A Trans Ops Specialist at TOC facilitates flow of information between different stakeholders (Trans Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. Trans Ops Specialist at TOC works across two verticals – Inbound and Outbound operations. Inbound Operations deals with Vendor/Carrier/FC relationship, ensuring that the freight is picked-up on time and is delivered at FC as per the given appointment. Trans Ops Specialist on Inbound addresses any potential issues occurring during the lifecycle of pick-up to delivery. Outbound Operations deals with FC/Carrier/Carrier Hub relationship, ensuring that the truck leaves the FC in order to delivery customer orders as per promise. Trans Ops Specialist on Outbound addresses any potential issues occurring during the lifecycle of freight leaving the FC and reaching customer premises. A Trans Ops Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. Trans Ops Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion. Responsibilities Include, But Are Not Limited To: Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers) Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus. Develop and/or understand performance metrics to assist with driving business results. Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by TOC. Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data. Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed. Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum. Providing real-time customer experience by working in 24*7 operating environment. A day in the life About The Hiring Group Job responsibilities A day in the life About The Hiring Group Job responsibilities BASIC QUALIFICATIONS Bachelor’s degree 10-24 months of work experience. Good communication skills - Trans Ops Specialist will be facilitating flow of information between external teams Proficiency in Advanced Excel (pivot tables, vlookups) Demonstrated ability to work in a team in a very dynamic environment PREFERRED QUALIFICATIONS Logistics background and lean/six sigma training is a plus Proficient in SQL Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Uttar Pradesh - F26 Job ID: A3036846

DESCRIPTION TOC (Transportation Operation Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, TOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving TOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, TOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Purview of a Trans Ops Specialist A Trans Ops Specialist at TOC facilitates flow of information between different stakeholders (Trans Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. Trans Ops Specialist at TOC works across two verticals – Inbound and Outbound operations. Inbound Operations deals with Vendor/Carrier/FC relationship, ensuring that the freight is picked-up on time and is delivered at FC as per the given appointment. Trans Ops Specialist on Inbound addresses any potential issues occurring during the lifecycle of pick-up to delivery. Outbound Operations deals with FC/Carrier/Carrier Hub relationship, ensuring that the truck leaves the FC in order to delivery customer orders as per promise. Trans Ops Specialist on Outbound addresses any potential issues occurring during the lifecycle of freight leaving the FC and reaching customer premises. A Trans Ops Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. Trans Ops Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion. Responsibilities Include, But Are Not Limited To: Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers) Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus. Develop and/or understand performance metrics to assist with driving business results. Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by TOC. Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data. Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed. Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum. Providing real-time customer experience by working in 24*7 operating environment. A day in the life About The Hiring Group Job responsibilities A day in the life About The Hiring Group Job responsibilities BASIC QUALIFICATIONS Bachelor’s degree 10-24 months of work experience. Good communication skills - Trans Ops Specialist will be facilitating flow of information between external teams Proficiency in Advanced Excel (pivot tables, vlookups) Demonstrated ability to work in a team in a very dynamic environment PREFERRED QUALIFICATIONS Logistics background and lean/six sigma training is a plus Proficient in SQL Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Uttar Pradesh - F26 Job ID: A3036848

Job Title: Senior Python Developer – Agentic & Generative AI Experience: 5–7 Years Location: On-site, Indore Job Type: Full-Time Job Summary: We are looking for a highly skilled and experienced Senior Python Developer with 5–7 years of professional experience, including hands-on expertise in Agentic AI frameworks and Generative AI technologies . You will play a pivotal role in designing, developing, and deploying AI-powered systems that leverage Large Language Models (LLMs), autonomous agents, and intelligent orchestration. Key Responsibilities: Architect and build complex Agentic AI systems using frameworks like LangChain, CrewAI, AutoGen , or custom agent orchestration logic. Lead the end-to-end development of GenAI applications , including chatbot frameworks, autonomous tools, and LLM-powered pipelines. Collaborate with product and data science teams to define use cases, design prompt chains, and optimize agent behavior. Integrate with LLM APIs (OpenAI, Anthropic, Hugging Face) and manage prompt engineering strategies. Implement RAG pipelines using vector databases like FAISS, Chroma, Pinecone , etc. Ensure scalability, performance, and security of AI systems in production environments. Mentor junior developers and review code for best practices, performance, and clarity. Stay up to date with the latest in AI research, tooling, and model developments. Must-Have Skills: 5–7 years of solid Python development experience in scalable, production-grade systems. In-depth knowledge of Agentic AI systems, task delegation, and multi-agent coordination. Strong hands-on experience with Generative AI models (GPT-4, Claude, LLaMA, etc.) and prompt engineering techniques. Experience with LangChain, AutoGen, CrewAI, Haystack , or similar agent frameworks. Expertise in integrating and querying vector stores (e.g., FAISS, Pinecone, Weaviate). Solid understanding of LLM orchestration, memory, context handling , and autonomous tool usage. Knowledge of REST APIs , asynchronous programming , and system integration. Good to Have: Experience with Docker, Kubernetes , and deploying GenAI systems on AWS/GCP/Azure . Familiarity with CI/CD pipelines and DevOps practices. Exposure to NLP libraries , Hugging Face Transformers, or custom model fine-tuning. Understanding of ethical AI , privacy, and security concerns in AI applications. Why Join Us? Lead next-gen AI innovations and shape the future of autonomous systems. Work with a highly skilled team at the cutting edge of GenAI and LLM applications. Opportunity to define AI strategy and architecture in a rapidly growing tech environment. Flexible work culture with continuous learning and experimentation mindset.

Experience : 3.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Noida) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - University Living) What do you need for this opportunity? Must have skills required: Power BI, SQL, ETL, Python, DAX, R, NoSQL University Living is Looking for: Job Description: Title: Senior Power BI Developer Reporting To: VP - Tech Location: Noida About Us: University Living is a leading global student housing platform that partners with educational institutions to enhance student experience. With a presence in over 265 international education hubs, we offer access to 1.75Mn+ beds across 35K+ verified properties in the UK, Ireland, USA, Canada, Europe, Australia, New Zealand, Singapore, and the UAE. In India, we work closely with universities and educational consultants to streamline student mobility, ensuring students are supported throughout their study-abroad journey with expert guidance and tailored accommodation solutions. Overview: We are looking for an experienced Senior Power BI Developer with 4-5 years of hands-on experience to join our Business Intelligence (BI) team. The successful candidate will play a key role in developing and maintaining advanced Power BI solutions to meet the analytical needs of our organization. This position offers the opportunity to work with cutting-edge BI technologies, collaborate with cross-functional teams, and drive data-driven decision-making processes. Responsibilities: Develop and maintain complex Power BI dashboards and reports to support business analytics and decision-making. Design and implement robust data models and relationships using DAX (Data Analysis Expressions) for accurate and efficient data analysis. Collaborate with business stakeholders to understand requirements and translate them into actionable insights and data visualizations. Optimize performance of Power BI solutions by tuning queries, data models, and report designs for maximum efficiency. Building ETL (extract, transform, load) processes to integrate data from various sources into a centralized data repository. Implement best practices for data governance, security, and compliance within Power BI solutions. Mentor junior team members and provide guidance on Power BI development best practices and techniques. Stay updated with emerging BI technologies, trends, and methodologies to drive innovation and continuous improvement. Conducting data analysis and providing recommendations to improve data quality, data management processes and data governance. Requirements: Bachelor’s degree in computer science, Information Systems, Statistics, or a related field. 4-5 years of hands-on experience in Power BI development and analytics in a professional environment. Strong proficiency in Microsoft Power BI Desktop, including data modeling, report design, and DAX calculations. Solid understanding of data warehousing concepts, dimensional modeling, and relational database principles. Proficiency in SQL, NoSQL for data querying, manipulation, and optimization. Experience with programming languages such as Python (NumPy, panda etc) or R for data analysis and statistical modeling. Excellent analytical and problem-solving skills with the ability to translate complex data into actionable insights. Strong communication and interpersonal skills with the ability to interact effectively with stakeholders at all levels. Detail-oriented approach with a commitment to delivering high-quality solutions on time. Skilled in building scalable ETL scripts for data integration and transformation. Preferred Qualifications: Experience with cloud-based BI platforms such as Azure Power BI, AWS Quick Sight. Knowledge of advanced Power BI features and capabilities, including custom visuals, advanced analytics, and AI integration. Certification in Microsoft Power BI or related technologies is a plus. Familiarity with Agile/Scrum methodologies and practices for software development. Experience working in a collaborative, cross-functional team environment. Expert in publishing reports to app.powerbi.com and setting up the necessary connection details and scheduling. Excellent knowledge connecting Microsoft Power BI Desktop to various data sources. Benefits: Competitive salary and comprehensive benefits package. Opportunities for professional growth and career advancement. Access to training and development programs to enhance skills and knowledge. Supportive work environment. Chance to work on challenging projects and make a real impact. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Data Science Instructor We're a dynamic team of learners and instructors dedicated to preparing students for the next-generation data science ecosystem through immersive hands-on learning. We're searching for a passionate and experienced Data Science Instructor to join us. You'll be instrumental in shaping future data professionals, focusing on practical skills in SQL, Python, Machine Learning, and real-world project development. Responsibilities: ● Develop and deliver engaging lessons and workshops on core data science topics, with a strong emphasis on SQL and Python programming. ● Guide students through foundational machine learning models, including linear regression, logistic regression, decision trees, and random forests, ensuring they grasp both the theory and practical application. ● Design and facilitate compelling hands-on projects that allow students to apply their knowledge and build a portfolio of work. We expect you to have demonstrative experience with projects in Python and machine learning. ● Explain complex technical concepts clearly and concisely, making them accessible to a diverse group of learners. ● Provide constructive feedback and mentorship, supporting students as they navigate challenges and deepen their understanding. ● Collaborate with our team to continuously refine and enhance our curriculum, ensuring it remains relevant and cutting-edge. ● Stay current with industry trends and advancements in data science and machine learning. Required Qualifications: ● Proven experience as a Data Scientist, Machine Learning Engineer, or similar role, with a strong portfolio showcasing demonstrative experience with projects in Python and machine learning. ● Expert-level proficiency in Python for data analysis, manipulation, and model building. ● In-depth practical experience with common machine learning models, specifically: linear regression, logistic regression, decision trees, and random forests. ● Exceptional ability to design and lead hands-on projects that foster practical skill development. ● Strong communication and presentation skills, with a talent for explaining intricate technical details clearly. ● Proficiency in SQL for data querying and management. Preferred Qualifications: ● Familiarity with other Python libraries like Streamlit for building interactive data applications. ● Experience with Natural Language Processing (NLP) concepts. ● Exposure to Large Language Models (LLMs) or chatbot development. ● Prior experience in teaching, mentoring, or training roles. location Preffered: Prayagraj,Lucknow,Kanpur,Indore,Agra,Delhi,Varanasi. Job Type: On-Site If you're excited by the prospect of empowering the next generation of data scientists and have a strong track record of building and explaining data science projects, we'd love to hear from you! EMAIL ID- hr@ndmit.com

Summary As a Data Scientist you will build and deploy data-driven solutions to support business goals. You will use your skills in data analytics, machine learning (supervised and unsupervised) and GenAI, to translate complex data into actionable insights. As a data scientist you will work closely with cross-functional team of data engineers, product owners, Devops and bridge the gap between technical implementation and business needs. Responsibilities (Other duties may be assigned.) Experiment and feature engineer with data to design and build machine/deep learning models with appropriate precision, recall, F1 scores to meet the use case need Prompt engineer to develop new and enhance existing Gen-AI applications. (Chatbots, RAG). Develop and implement advanced AI agents capable of performing autonomous tasks, decision-making, and executing requirement-specific workflows. Document and create experiment reports on the implementation and code in a way that is clear and accessible to both technical and non-technical team members. Perform advanced data analysis, manipulation, and cleansing to extract actionable insights from structured and unstructured data. Create scalable and efficient recommendation systems that enhance user personalization and engagement. Effectively communicate technical solutions and findings to both technical and non-technical stakeholders. Design and deploy AI-driven chatbots and virtual assistants, focusing on natural language understanding and contextual relevance. Implement and optimize supervised and unsupervised learning models for NLP tasks, including text classification, sentiment analysis, and language generation. Explore, understand, and develop state-of-the-art technologies for AI agents, integrating them with broader enterprise systems. Collaborate with cross-functional teams to gather business requirements and deliver AI-driven solutions tailored to specific use cases. Automate workflows using advanced AI tools and frameworks to increase efficiency and reduce manual interventions. Stay informed about cutting-edge advancements in AI, machine learning, NLP, and Gen AI applications, and assess their relevance to the organization. Education and/or experience: At least 5 years of experience working with data sciences. Preferably with a bachelors (OR Master) degree in Computer Science, Data Science, or Artificial Intelligence. Knowledge Skills and Abilities: Strong understanding of mathematics including vector algebra and probability theory for understanding and explaining machine learning (discriminative and generative) models. Strong expertise in data analytics, pattern recognition, machine learning, including predictive modeling and recommendation systems. Excellent communication & documentation skills to articulate complex ideas to diverse audiences. Hands-on experience with large datasets and using distributed systems for analytics and modelling. Advanced understanding of natural language processing (NLP) techniques and tools, including transformers like BERT, GPT, or similar models including open-source LLMs. Strong knowledge of cloud platforms (AWS) for deploying and scaling AI models. Proficiency with code versioning platforms like CodeCommit and GitHub. Technical Skills: Python proficiency and hands-on experience with libraries like (Pandas, Dask, Numpy, Matplotlib, NLTK, Sklearn, Pytorch and Tensorflow). Experience in prompt engineering for AI models to enhance functionality and adaptability. Familiarity with AI agent frameworks like LangChain, OpenAI APIs, or other agent-building tools. Advanced skills in Relational databases [Postgres], Vector Database, querying, analytics, semantic search, and data manipulation. Strong problem-solving and critical-thinking skills, with the ability to handle complex technical challenges. Hands-on experience working with API frameworks like Flask, FastAPI, etc. Proficiency with code versioning platforms like CodeCommit and GitHub. Preferred: Hands-on experience building and deploying conversational AI, chatbots, and virtual assistants. Familiarity with MLOps pipelines and CI/CD for AI/ML workflows. Experience with reinforcement learning or multi-agent systems. Language Skills Ability to speak the English language proficiently, both verbally and in writing. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Employee works primarily in a home office environment. The home office must be a well-defined work area, separate from normal domestic activity and complete with all essential technology including, but not limited to; separate phone, scanner, printer, computer, etc. as required in order to effectively perform their duties. Compliance with all relevant FINEOS Global policies and procedures related to Quality, Security, Safety, Business Continuity, and Environmental systems. Travel and fieldwork, including international travel may be required. Therefore, employee must possess, or be able to acquire a valid passport. Must be legally eligible to work in the country in which you are hired. FINEOS is an Equal Opportunity Employer. FINEOS does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job Location: Remote (India) Working Days: Mon - Sat About the Role You would be handling day-to-day transaction monitoring, issue resolution, partner coordination and reconciliation. This role requires a hands-on operator who can manage failed orders, ensure timely refunds and own the reconciliation of internal platform data against external partner records. Key Responsibilities: 🔁 Transaction & Escalation Management Monitor real-time/live and batch transaction flows. Investigate failed/stuck orders and manually verify them with external platforms. Take action on refunds, reversals, and exceptions using internal tools. 🤝 Partner Coordination Be the primary point of contact for operational issues with external partners. Escalate and follow up on critical order failures or support requests. Build strong working relationships to ensure fast issue resolution. 🧾 Reconciliation & Reporting Reconcile transactions between our platform and all external partner systems. Identify mismatches or exceptions and work with internal/external teams to resolve them. Ensure reconciliation is accurate, timely, and audit-ready. 💡 Cross-Team Collaboration Work closely with product, tech, and customer support teams to improve workflows. Provide feedback to reduce manual work and increase reliability. 📊 Reporting & Documentation Maintain logs of transaction issues, partner communications and refunds. Generate weekly reports on failures, escalations, and reconciliation gaps. You shall have: 3+ years in fintech operations, reconciliation, or partner/vendor management. Proven data analytics experience; ability to interpret and present data insights clearly. Strong knowledge of SQL and Python for querying, analysis and automation. Familiarity with transaction flows, financial data matching, and reconciliation processes. Hands-on experience in refunds, escalations, and reconciliation processes. Proficiency in Excel and Google Workspace (G-Suite). Excellent written and verbal communication skills, with a focus on structured documentation. Soft Skills: 🤝 Collaboration: Strong communication skills to work effectively within distributed teams. 📚 Proactive Learning: A proactive approach to adopting new tools, technologies, and methodologies. 🏆 Independence & Team Goals: Ability to work autonomously while staying aligned with broader team objectives.

Introducing Thinkproject Platform Pioneering a new era and offering a cohesive alternative to the fragmented landscape of construction software, Thinkproject seamlessly integrates the most extensive portfolio of mature solutions with an innovative platform, providing unparalleled features, integrations, user experiences, and synergies. By combining information management expertise and in-depth knowledge of the building, infrastructure, and energy industries, Thinkproject empowers customers to efficiently deliver, operate, regenerate, and dispose of their built assets across their entire lifecycle through a Connected Data Ecosystem. We are seeking a hands-on Applied Machine Learning Engineer to join our team and lead the development of ML-driven insights from historical data in our contracts management, assets management and common data platform. This individual will work closely with our data engineering and product teams to design, develop, and deploy scalable machine learning models that can parse, learn from, and generate value from both structured and unstructured contract data. You will use BigQuery and its ML capabilities (including SQL and Python integrations) to prototype and productionize models across a variety of NLP and predictive analytics use cases. Your work will be critical in enhancing our platform’s intelligence layer, including search, classification, recommendations, and risk detection. What your day will look like Key Responsibilities Model Development: Design and implement machine learning models using structured and unstructured historical contract data to support intelligent document search, clause classification, metadata extraction, and contract risk scoring. BigQuery ML Integration: Build, train, and deploy ML models directly within BigQuery using SQL and/or Python, leveraging native GCP tools (e.g., Vertex AI, Dataflow, Pub/Sub). Data Preprocessing & Feature Engineering: Clean, enrich, and transform raw data (e.g., legal clauses, metadata, audit trails) into model-ready features using scalable and efficient pipelines. Model Evaluation & Experimentation: Conduct experiments, model validation, A/B testing, and iterate based on precision, recall, F1-score, RMSE, etc. Deployment & Monitoring: Operationalize models in production environments with monitoring, retraining pipelines, and CI/CD best practices for ML (MLOps). Collaboration: Work cross-functionally with data engineers, product managers, legal domain experts, and frontend teams to align ML solutions with product needs. What you need to fulfill the role Skills And Experience Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. ML Expertise: Strong applied knowledge of supervised and unsupervised learning, classification, regression, clustering, feature engineering, and model evaluation. NLP Experience: Hands-on experience working with textual data, especially in NLP use cases like entity extraction, classification, and summarization. GCP & BigQuery: Proficiency with Google Cloud Platform, especially BigQuery and BigQuery ML; comfort querying large-scale datasets and integrating with external ML tooling. Programming: Proficient in Python and SQL; familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, Keras. MLOps Knowledge: Experience with model deployment, monitoring, versioning, and ML CI/CD best practices. Data Engineering Alignment: Comfortable working with data pipelines and tools like Apache Beam, Dataflow, Cloud Composer, and pub/sub systems. Version Control: Strong Git skills and experience collaborating in Agile teams. Preferred Qualifications Experience working with contractual or legal text datasets. Familiarity with document management systems, annotation tools, or enterprise collaboration platforms. Exposure to Vertex AI, LangChain, RAG-based retrieval, or embedding models for Gen AI use cases. Comfortable working in a fast-paced, iterative environment with changing priorities. What we offer Lunch 'n' Learn Sessions I Women's Network I LGBTQIA+ Network I Coffee Chat Roulette I Free English Lessons I Thinkproject Academy I Social Events I Volunteering Activities I Open Forum with Leadership Team (Tp Café) I Hybrid working I Unlimited learning We are a passionate bunch here. To join Thinkproject is to shape what our company becomes. We take feedback from our staff very seriously and give them the tools they need to help us create our fantastic culture of mutual respect. We believe that investing in our staff is crucial to the success of our business. Your contact: Mehal Mehta Please submit your application, including salary expectations and potential date of entry, by submitting the form on the next page. Working at thinkproject.com - think career. think ahead.

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements "Statistical Modeling: Develop and implement core statistical models, including linear and logistic regression, decision trees, and various classification algorithms. Analyze and interpret model outputs to inform business decisions. Advanced NLP: Work on complex NLP tasks, including data cleansing, text preprocessing, and feature engineering. Develop models for text classification, sentiment analysis, and entity recognition. LLM Integration: Design and optimize pipelines for integrating Large Language Models (LLMs) into applications, with a focus on Retrieval-Augmented Generation (RAG) systems. Work on fine-tuning LLMs to enhance their performance on domain-specific tasks. ETL Processes: Design ETL (Extract, Transform, Load) processes to ensure that data is accurately extracted from various sources, transformed into usable formats, and loaded into data warehouses or databases for analysis. BI Reporting and SQL: Collaborate with BI teams to ensure that data pipelines support efficient reporting. Write complex SQL queries to extract, analyze, and visualize data for business intelligence reports. Ensure that data models are optimized for reporting and analytics. Data Storage and Management: Collaborate with data engineers to design and implement efficient storage solutions for structured datasets and semi structured text datasets. Ensure that data is accessible, well-organized, and optimized for retrieval. Model Evaluation and Optimization: Regularly evaluate models using appropriate metrics and improve them through hyperparameter tuning, feature selection, and other optimization techniques. Deploy models in production environments and monitor their performance. Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and product managers, to integrate models into applications and ensure they meet business requirements. Innovation: Stay updated with the latest advancements in machine learning, NLP, and data engineering. Experiment with new algorithms, tools, and frameworks to continuously enhance the capabilities of our models and data processes." Qualifications Overall Experience: 5+ years of overall experience working in a modern software engineering environment with exposure to best practices in code management, devops and cloud data/ML engineering. Proven track record of developing and deploying machine learning models in production. ML Experience: 3+ years of experience in machine learning engineering, data science with a focus on fundamental statistical modeling. Experience in feature engineering, basic model tuning and understanding model drift over time. Strong foundations in statistics for applied ML. Data Experience: 1+ year(s) in building data engineering ETL processes, and BI reporting. NLP Experience: 1+ year(s) of experience working on NLP use cases, including large scale text data processing, storage and fundamental NLP models for text classification, topic modeling and/or more recently, LLM models and their applications Core Technical Skills: Proficiency in Python and relevant ML and/or NLP specific libraries. Strong SQL skills for data querying, analysis, and BI reporting. Experience with ETL tools and data pipeline management. BI Reporting: Experience in designing and optimizing data models for BI reporting, using tools like Tableau, Power BI, or similar. Education: Bachelor’s or Master’s degree in Computer Science / Data Science,

Current scope and span of work: Summary : Need is for a data engineer to handle day-to-day activities involving data ingestion from multiple source locations, help identify data sources, to troubleshoot issues, and engage with a third-party vendor to meet stakeholders’ needs. Required Skills : Python Processing of large quantities of text documents Extraction of text from Office and PDF documents Input json to an API, output json to an API Nifi (or similar technology compatible with current EMIT practices) Basic understanding of AI/ML concepts Database/Search engine/SOLR skills SQL – build queries to analyze, create and update databases Understands the basics of hybrid search Experience working with terabytes (TB) of data Basic OpenML/Python/Azure knowledge Scripting knowledge/experience in an Azure environment to automate Cloud systems experience related to search and databases Platforms: DataBricks Snowflake ESRI ArcGIS / SDE New GenAI app being developed Scope of work : 1. Ingest TB of data from multiple sources identified by the Ingestion Lead 2. Optimize data pipelines to improve on data processing, speed, and data availability 4. Make data available for end users from several hundred LAN and SharePoint areas 5. Monitor data pipelines daily and fix issues related to scripts, platforms, and ingestion 6. Work closely with the Ingestion Lead & Vendor on issues related to data ingestion Technical Skills demonstrated: 1. SOLR - Backend database 2. Nifi - Data movement 3. Pyspark - Data Processing 4. Hive & Oozie - For jobs monitoring 5. Querying - SQL, HQl and SOLR querying 6. SQL 7. Python Behavioral Skills demonstrated: 1. Excellent communication skills 2. Ability to receive direction from a Lead and implement 3. Prior experience working in an Agile setup, preferred 4. Experience troubleshooting technical issues and quality control checking of work 5. Experience working with a globally distributed team in different

ASSOCIATE, CLIENT SUPPORT Noida, India Operations Group 317689 Job Description About The Role: Grade Level (for internal use): 07 The Team: As our Client Support team expands, you will play a pivotal role in sustaining our momentum. Join a team of innovators dedicated to problem-solving and delivering unparalleled customer experiences in a dynamic environment. Together, we serve our diverse global clientele with excellence. Our management is committed to fostering a workplace that nurtures the growth and potential of our colleagues. The Impact: As a leading force in transaction reporting worldwide, Cappitech has been delivering regulatory technology solutions for over twenty years. Our cloud-based, cross-regulation Software as a Service (SaaS) platform empowers banks, brokers, hedge funds, asset managers, insurance companies, and corporates to meet global regulatory standards seamlessly. With a diverse workforce representing our global clientele, we embody S&P Global values of inclusivity, collaboration, and integrity. What’s in it for you: Global Nature of the Role : Collaborate with diverse teams across multiple regions to resolve client queries, gaining global insights and understanding of derivative markets, regulations, and practices. Impactful Contribution : Play a key role in providing excellent customer experience that directly influence business outcomes and shape the future direction of the product. Exposure to Industry Experts : Work closely with industry experts, decision-makers, and thought leaders, offering a unique opportunity to build valuable product. Roles and Responsibilities: Addressing customer inquiries and requests promptly and efficiently, ensuring resolution within specified timelines. Assisting clients in comprehending the functionality of the solution and resolving reporting challenges. Collaborating with product, application support and development teams to identify and rectify bugs and issues, and testing implemented fixes. Timely escalation of issues and ensuring proper follow-up until resolution. Supporting validation or User Acceptance Testing (UAT) for issue resolution. Contributing to client-specific projects as required. Conducting Root Cause Analysis to identify the source of data inconsistencies. Troubleshooting client inquiries and issues by reviewing data in various formats such as Excel files, JSON, XML, FPML messages, and comparing them against mapping sheets, technical specifications, and business requirements to resolve issues or identify system bugs. What We’re Looking For: Possession of a bachelor’s or master’s degree in business administration, technology, or a related field. Completion of any financial certifications such as FRM or CFA would be a plus. Proficiency in Excel and SQL is desired. Demonstrated experience of up to 2 years in financial markets or fintech. Understanding of the trade lifecycle across major financial asset classes including securities finance, exchange-traded, and OTC derivatives. Familiarity with financial markets and Regulatory Reporting Regimes (SFTR/MiFID/EMIR/ASIC/MAS/JFSA/CFTC) would be a plus. Ability to comprehend technical concepts. Competence in querying and extracting data from databases. Knowledge of other vendor systems like ANNA, Reuters etc. is advantageous. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), OPRTON203 - Entry Professional (EEO Job Group) Job ID: 317689 Posted On: 2025-07-17 Location: Noida, Uttar Pradesh, India

About the Role: Grade Level (for internal use): 07 The Team: As our Client Support team expands, you will play a pivotal role in sustaining our momentum. Join a team of innovators dedicated to problem-solving and delivering unparalleled customer experiences in a dynamic environment. Together, we serve our diverse global clientele with excellence. Our management is committed to fostering a workplace that nurtures the growth and potential of our colleagues. The Impact: As a leading force in transaction reporting worldwide, Cappitech has been delivering regulatory technology solutions for over twenty years. Our cloud-based, cross-regulation Software as a Service (SaaS) platform empowers banks, brokers, hedge funds, asset managers, insurance companies, and corporates to meet global regulatory standards seamlessly. With a diverse workforce representing our global clientele, we embody S&P Global values of inclusivity, collaboration, and integrity. What’s in it for you: Global Nature of the Role : Collaborate with diverse teams across multiple regions to resolve client queries, gaining global insights and understanding of derivative markets, regulations, and practices. Impactful Contribution : Play a key role in providing excellent customer experience that directly influence business outcomes and shape the future direction of the product. Exposure to Industry Experts : Work closely with industry experts, decision-makers, and thought leaders, offering a unique opportunity to build valuable product. Roles and Responsibilities: Addressing customer inquiries and requests promptly and efficiently, ensuring resolution within specified timelines. Assisting clients in comprehending the functionality of the solution and resolving reporting challenges. Collaborating with product, application support and development teams to identify and rectify bugs and issues, and testing implemented fixes. Timely escalation of issues and ensuring proper follow-up until resolution. Supporting validation or User Acceptance Testing (UAT) for issue resolution. Contributing to client-specific projects as required. Conducting Root Cause Analysis to identify the source of data inconsistencies. Troubleshooting client inquiries and issues by reviewing data in various formats such as Excel files, JSON, XML, FPML messages, and comparing them against mapping sheets, technical specifications, and business requirements to resolve issues or identify system bugs. What We’re Looking For: Possession of a bachelor’s or master’s degree in business administration, technology, or a related field. Completion of any financial certifications such as FRM or CFA would be a plus. Proficiency in Excel and SQL is desired. Demonstrated experience of up to 2 years in financial markets or fintech. Understanding of the trade lifecycle across major financial asset classes including securities finance, exchange-traded, and OTC derivatives. Familiarity with financial markets and Regulatory Reporting Regimes (SFTR/MiFID/EMIR/ASIC/MAS/JFSA/CFTC) would be a plus. Ability to comprehend technical concepts. Competence in querying and extracting data from databases. Knowledge of other vendor systems like ANNA, Reuters etc. is advantageous. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), OPRTON203 - Entry Professional (EEO Job Group) Job ID: 317689 Posted On: 2025-07-17 Location: Noida, Uttar Pradesh, India

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, you will be an integral part of an agile team, contributing your expertise to design and deliver innovative technology products that are secure, stable, and scalable. Your role involves implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firm's strategic goals. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies

About Chubb JOB DESCRIPTION Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com . About Chubb India At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. With a team of over 2500 talented professionals, we foster a startup mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning. Position Details Job Title: Senior Software Developer Function/Department: Technology Location: Hyderabad - Work from Office Employment Type: Full-time Role: QA Engineer: Test/QA Software Engineering Responsibilities Role Summary 4 to 7 years of working experience with software quality assurance with good understanding on complete STLC and Test Processes followed across STLC. Experience in writing clear, concise, and comprehensive test plans and test cases. Knowledge of web services required and Hands-on experience on API testing tools such as Postman/REST Assured. Knowledge of SQL-Databases required, and basic knowledge of SQL querying is required. Hands-on experience with both white box and black box testing/ Functional/ end-to-end test activities. Hands-on experience with automated testing tools – Selenium with Java (UI), Rest assured(API), Manual Testing is addon Strong Knowledge in handling Stories in JIRA Tool and capable of working in Agile model Ensure that test case standards are adhered to for all test cases included in regression suite Experience working in an Agile/Scrum development process and preferred with experience in test management tools (JIRA & Synapse RT) preferred. Thorough knowledge on QA principles and methodologies and creating QA artifacts Test scripts/Defect reports/Test report metrics. Experience with performance and/or security testing has added advantage. Self-motivated, able to work independently and perform multiple tasks under minimal supervision Actively participate in walkthrough inspection review and user group meetings for quality assurance Participate in production implementations. Strong interpersonal, written, and verbal communication skills, particularly in a multi-cultural environment Financial domain (Investment management) knowledge will be an added advantage Desirable Skills Background in computer science, information systems or bachelor’s or master’s degree in computer science, Information Technology, Computer Engineering, Software Engineering, or a related field. Insurance/Financial services background preferred. Why Chubb? Join Chubb to be part of a leading global insurance company! Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results. Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024 and 2024-2025 Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience , enabling them to advance their careers in a conducive environment Employee Benefits Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include: Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs. Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits. Application Process Our recruitment process is designed to be transparent, and inclusive. Step 1: Submit your application via the Chubb Careers Portal. Step 2: Engage with our recruitment team for an initial discussion. Step 3: Participate in Hacker Rank assessments/technical/functional interviews and assessments (if applicable). Step 4: Final interaction with Chubb leadership. Join Us With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion , and are ready to make a difference, we invite you to be part of Chubb India’s journey . Apply Now : Chubb External Careers

Job Summary We are seeking an experienced Databricks Engineer to join our data engineering team in Pune. The ideal candidate will have deep expertise in the Databricks platform along with strong programming skills in Python, PySpark, and SQL. You will be responsible for designing and implementing robust data pipelines, building scalable data solutions, and enabling continuous integration and deployment (CI/CD) across our data platforms. Responsibilities This role offers a hands-on opportunity to work on modern data engineering practices and make a significant impact on large-scale data Responsibilities : Design, develop, and manage scalable and reliable data pipelines using Databricks, PySpark, and SQL. Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver efficient solutions. Implement CI/CD pipelines for data workflows, ensuring smooth deployment and integration across environments. Optimize and troubleshoot performance issues in existing pipelines. Develop and maintain unit test cases to ensure data accuracy and reliability. Work with MongoDB, leveraging its aggregation framework for efficient data querying and Document data flows, system architecture, and best practices for development and Skills and Qualifications : 5 - 8 years of professional experience in Data Engineering or related roles. Hands-on experience with the Databricks platform (including clusters, notebooks, jobs, and data pipelines). Strong programming skills in Python and PySpark. Proficiency in SQL for data querying, transformation, and validation. Experience with CI/CD practices and tools (e.g., Git, Azure DevOps, Jenkins). Solid experience in implementing and maintaining unit test cases for data pipelines. Good understanding and practical experience with MongoDB, including aggregation queries. Strong problem-solving skills and the ability to work independently in a fast-paced environment. (ref:hirist.tech)

Are you a skilled Data Architect with a passion for tackling intricate data challenges from various structured and unstructured sources Do you excel in crafting micro data lakes and spearheading data strategies at an enterprise level If this sounds like you, we are eager to learn more about your expertise. In this role, you will be responsible for designing and constructing tailored micro data lakes specifically catered to the lending domain. Your tasks will include defining and executing enterprise data strategies encompassing modeling, lineage, and governance. You will play a crucial role in architecting robust data pipelines for both batch and real-time data ingestion, as well as devising strategies for extracting, transforming, and storing data from diverse sources like APIs, PDFs, logs, and databases. Furthermore, you will be instrumental in establishing best practices related to data quality, metadata management, and data lifecycle control. Your hands-on involvement in implementing processes, strategies, and tools will be pivotal in creating innovative products. Collaboration with engineering and product teams to align data architecture with overarching business objectives will be a key aspect of your role. To excel in this position, you should bring to the table over 10 years of experience in data architecture and engineering. A deep understanding of both structured and unstructured data ecosystems is essential, along with practical experience in ETL, ELT, stream processing, querying, and data modeling. Proficiency in tools and languages such as Spark, Kafka, Airflow, SQL, Amundsen, Glue Catalog, and Python is a must. Additionally, expertise in cloud-native data platforms like AWS, Azure, or GCP is highly desirable, along with a solid foundation in data governance, privacy, and compliance standards. While exposure to the lending domain, ML pipelines, or AI integrations is considered advantageous, a background in fintech, lending, or regulatory data environments is also beneficial. This role offers you the chance to lead data-first transformation, develop products that drive AI adoption, and the autonomy to design, build, and scale modern data architecture. You will be part of a forward-thinking, collaborative, and tech-driven culture with access to cutting-edge tools and technologies in the data ecosystem. If you are ready to shape the future of data with us, we encourage you to apply for this exciting opportunity based in Chennai. Join us in redefining data architecture and driving innovation in the realm of structured and unstructured data sources.,

JOB_POSTING-3-72575-2 Job Description Job Title: Manager, Account Management Implementation (L9) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: Credit Team decisions credit actions across the lifecycle of a customer – from acquisition to account management to collections and recover – we work towards managing credit and fraud losses and elevating customer experience through powerful and proprietary insights on customer risk and credit behaviors. The actionable insights are driven by access to numerous alternative data sources, new age technologies, focused strategies, emerging algorithms, and predictive precision. Spread across 10 pillars the credit team in India caters to the entire gamut of decision sciences, from data management to model development to strategy design, and bringing it all to life through technology, and managing within the guardrails of our regulatory requirements. As part of the team, you will have access to some unique product propositions, functional and leadership training, interaction with the executive leadership team and a myriad of diverse perspectives. Role Summary/Purpose As a Manager, Fraud Infrastructure team, you will have the opportunity to work on major business initiatives that contribute to SYF’s growth and productivity objectives. In this role (individual contributor), you will have the responsibility of managing and Hands-on on multiple Fraud strategy implementation assignments supporting the Fraud function & will work directly with the business, Prism and strategy teams in catering to the end-to-end deliverables. Key Responsibilities Ensure Defect free Implementation for all rule engine changes with strong controls and governance and adhere timely deliverables without failure Support operational credit team in response to internal and external audit requests. Design automations around various processes Assurance of six sigma rigor in strategy development, implementation, and monitoring. Work on several different projects simultaneously, of varying complexity and length. Proactively manage efforts to maintain stakeholder satisfaction, and quantify project benefits delivered Required Skills/Knowledge PowerCurve, Advance Defense, Defense Edge, TRIAD or any other risk management tool or Java/QA exposure. SAS/SQL/Python knowledge for Data querying and building Automated reports where in required for additional monitoring apart from BAU. Strong interpersonal and communication skills, including the ability to work effectively with a wide range of end users. Ability to communicate technical information effectively, both written and verbal. Desired Skills/Knowledge 1+ years of hands-on experience in strategy changes in any of the rule engines mentioned above or Java/AI/QA exposure. Testing skills and Jira skills are good to have. Python/R/Tableau etc. are good to have. Exposure to Big Data technologies. Strategic thinker; innovative problem solver; self-starter; team player. Eligibility Criteria Bachelor's degree with 1+ years of credit experience, or in lieu of a degree 3+ years of credit experience or Java coding/AI/QA exposure or Quality assurance. Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal) L4-L7 Employees who have completed 12 months in the organization and 12 months in their current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible. Employees at L4+ can apply for this opportunity. Grade/Level: 09 Job Family Group: Credit Job Family Group Credit

Job Description: Analyst – Marketing & Customer Analytics (Offshore Team) Job Overview We are looking for a data-savvy and insight-driven Analyst to join our Retail Marketing & Customer Analytics offshore team. This role supports a variety of high-impact analytics needs—from channel efficiency analysis and incrementality measurement to building scalable dashboards and supporting ad hoc marketing and customer deep dives. Ideal for candidates with 5–7 years of experience, this role requires strong SQL and visualization skills, a sharp analytical mindset, and a passion for improving marketing effectiveness through data. Key Responsibilities Marketing Performance & Channel Analytics Analyze the efficiency and ROI of marketing channels (e.g., paid search, social, email, affiliates), identifying performance trends and optimization opportunities. Support channel incrementality testing, including design, measurement, and interpretation of test results to determine true lift and return from campaigns. Translate findings from Marketing Mix Models (MMM), attribution models (GA4, MTA, last-click), and driver tree frameworks into actionable recommendations for budget and channel strategy. Conduct post-campaign analysis to identify what worked, what didn’t, and where opportunities exist for improvement. Customer & Ad Hoc Analytics Partner with onshore stakeholders to solve ad hoc business questions related to customer engagement, retention, segmentation, and lifecycle behavior. Identify and explain key business drivers influencing metrics like revenue, traffic, conversions, or churn using structured frameworks and analytical methods. Visualization & Reporting Build and maintain automated, insightful dashboards using Tableau and Looker that track marketing performance, customer behavior, and attribution outcomes. Design reporting views that make complex modeling output (e.g., MMM or GA4 attribution data) intuitive and digestible for marketing stakeholders. Ensure data pipelines and visualizations are accurate, scalable, and aligned with business definitions. Data Extraction & Quality Write efficient, scalable SQL queries to extract and manipulate large datasets from cloud platforms (e.g., GCP BigQuery). Support ongoing data validation, anomaly detection, and root cause investigation to ensure confidence in insights delivered. Team Collaboration & Agile Delivery Work closely with onshore marketing analytics leads, campaign managers, and CRM teams to align on goals and interpret insights in business context. Participate in Agile ceremonies (e.g., standups, sprint planning) and support documentation and stakeholder communication. Requirements 5–7 years of analytics experience, with a strong foundation in marketing or customer analytics. Proficient in SQL for querying and analyzing large datasets. Hands-on experience with Tableau, Looker, or similar BI tools for building dashboards and visualizations. Familiarity with marketing KPIs such as ROI, conversion rate, CAC, LTV, and incrementality. Strong analytical thinking, with the ability to turn model outputs into real-world business narratives. Clear verbal and written communication skills to share insights with technical and non-technical stakeholders. Comfortable working in Agile or cross-functional teams using tools like Jira, Confluence, or Slack. Preferred Qualifications Exposure to MMM, GA4, MTA, or other attribution models and frameworks. Experience supporting or interpreting incrementality experiments and A/B testing for paid media or CRM programs. Familiarity with retail or e-commerce environments and omnichannel marketing strategies. Understanding of driver tree modeling, campaign forecasting, or uplift modeling concepts.

Responsibilities 5 years of experience in consulting or relevant industry roles. A Bachelor’s degree or higher in Business Administration, Economics, Finance, Engineering, or a related field, with a strong academic record. Proven experience in project execution within professional or volunteer settings, including: Synthesizing analysis into clear and compelling narratives. Delivering tangible outcomes at different stages of a process. Mentoring and supporting junior team members. Technical proficiency includes: Strong command of Microsoft Office (Excel, PowerPoint, Word) is a must have Experience with financial modelling, KPI tracking, and revenue forecasting to support business growth strategies Experience with data management and querying, as well as BI tools such as PowerBI, Tableau, Looker, Qlik for automated data visualization and reporting Data science and analytics expertise including statistical analysis, machine learning and predicative modeling a bonus using Python, R or SQL Commitment to excellence in client service and professional standards. Ability to think critically and strategically, going beyond execution to add value. Superior written and verbal communication skills in English. Manage resource planning and ensure optimal utilization across projects. Drive revenue forecasting, monitor actual performance, and manage forecast adjustments and deferrals. Oversee the end-to-end lifecycle of client onboarding and project creation. Administer timesheet tracking and management for project resources to ensure accurate billing and reporting. Manage vendor relationships and oversee timely and accurate payment processing. Maintain and update rate cards, project cost tracking, and project charter documentation. Ensure compliance with industry certification standards and internal compliance requirements. Willingness and ability to work in flexible shifts, including switching between EST and IST time zones as required by business needs. Oversee the management and execution of Master Service Agreements (MSAs), Service Level Agreements (SLAs), and partnership deeds. Collaborate closely with the senior leadership team to deliver on quality metrics and quantitative business objectives. Develop compelling narratives, business decks, and reports, demonstrating strong proficiency in advanced Excel and PowerPoint. Key Skills & Competencies: Strategic Thinking : Strong capability to think strategically and develop long-term plans. Project Management : Experience managing multiple projects or workstreams, ensuring timely and high-quality outcomes. Financial Acumen : Solid understanding of financial statements, budgeting, and forecasting. Problem-Solving : Ability to think critically and develop innovative solutions to ambiguous challenges. Analytical & Quantitative Skills : Ability to assess complex data, identify trends, build business cases, and make data-driven decisions. Communication : Exceptional verbal and written communication skills, with a concern for storytelling and an ability to present complex information clearly and persuasively Comfort with Ambiguity : Capacity to frame a problem, make assumptions and judgment calls, with ability to be resourceful and ‘take a first pass’ independently Collaboration : Interest in working in multidisciplinary teams and leveraging diverse perspectives.