5377 Hive Jobs - Page 9

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Cloud Architect - Manager As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. The opportunity We’re looking for SeniorManagers (GTM +Cloud/ Big Data Architects) with strong technology and data understanding having proven delivery capability in delivery and pre sales. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your Key Responsibilities Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data. Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 10- 15 years] Need to understand current & Future state enterprise architecture. Need to contribute in various technical streams during implementation of the project. Provide product and design level technical best practices Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions Define and develop client specific best practices around data management within a Hadoop environment or cloud environment Recommend design alternatives for data ingestion, processing and provisioning layers Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies Skills And Attributes For Success Architect in designing highly scalable solutions Azure, AWS and GCP. Strong understanding & familiarity with all Azure/AWS/GCP /Bigdata Ecosystem components Strong understanding of underlying Azure/AWS/GCP Architectural concepts and distributed computing paradigms Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming Hands on experience with major components like cloud ETLs,Spark, Databricks Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks. Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Good knowledge in apache Kafka & Apache Flume Experience in Enterprise grade solution implementations. Experience in performance bench marking enterprise applications Experience in Data security [on the move, at rest] Strong UNIX operating system concepts and shell scripting knowledge To qualify for the role, you must have Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support Responsible for the evaluation of technical risks and map out mitigation strategies Experience in Data security [on the move, at rest] Experience in performance bench marking enterprise applications Working knowledge in any of the cloud platform, AWS or Azure or GCP Excellent business communication, Consulting, Quality process skills Excellent Consulting Skills Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain. Minimum 7 years hand-on experience in one or more of the above areas. Minimum 10 years industry experience Ideally, you’ll also have Strong project management skills Client management skills Solutioning skills What We Look For People with technical experience and enthusiasm to learn new things in this fast-moving environment What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. Function Description: With a focus on digitization, innovation, and analytics, the Enterprise Digital team creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of the team is the integration of diverse skills across all its remit. The American Express Enterprise Digital Experimentation & Analytics (EDEA) leads the Enterprise Product Analytics and Experimentation charter for Brand & Performance Marketing, Digital Acquisition & Membership experiences, Digital Servicing as well as Enterprise Platforms. The focus of this collaborative team is to drive growth by enabling efficiencies in paid performance channels & evolve our digital experiences with actionable insights & analytics. The team specializes in using data around digital product usage to drive improvements in the acquisition customer experience to deliver higher satisfaction and business value. Purpose of the Role: This role will report to the Manager of EDEA team and will be based in Gurgaon. The candidate will be responsible for delivery of highly impactful analytics to optimize our performance marketing channels, Digital experiences (Shop, Referral, Application Exp, MYCA Web, Amex Mobile); Platforms & Labs Deliver strategic analytics focused on Performance Marketing channels / Digital Acquisition, membership experiences as well as Platforms & Labs Define and build key KPIs to monitor the channel/product/ platform health and success Support the development of new products and capabilities Deliver read out of campaigns uncovering insights and learnings that can be utilized to further optimize the channels Gain deep functional understanding of the enterprise-wide product capabilities and associated platforms over time and ensure analytical insights are relevant and actionable Power in-depth strategic analysis and provide analytical and decision support by mining digital activity data along with AXP closed loop data Minimum Qualifications: Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science) Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL. Experience in large data processing and handling, understanding in data science is a plus. Ability to work in a dynamic, cross-functional environment, with strong attention to detail. Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment. Preferred Qualifications: Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner. Basic knowledge of statistical techniques for experimentation & hypothesis testing, regression, t-test, chi-square test. Enterprise Leadership Behaviors: Set the Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Expertise in AWS services like EC2, CloudFormation, S3, IAM, ECS/EKS, EMR, QuickSight, SageMaker, Athena, Glue etc. Expertise in Hadoop platform administration and good debugging skills to resolve hive and spark related issues. Experience in designing, developing, configuring, testing and deploying cloud automation preferably in AWS Experience in infrastructure provisioning using CloudFormation, Terraform, Ansible, etc. Experience in Python and Spark. Working knowledge of CI/CD tools and containers Key Responsibilities Interpreting and analyzing business requirements and converting them into high and low level designs. Designing, developing, configuring, testing and deploying cloud automation for Finance business unit using tools such as CloudFormation, Terraform, Ansible etc. while following the capability domain’s Engineering standards in an Agile environment End-to-end ownership of developing, configuring, unit testing and deploying developed code with quality and minimal supervision. Work closely with customers, business analysts and technology & project team to understand business requirements, drive the analysis and design of quality technical solutions that are aligned with business and technology strategies and comply with the organization's architectural standards. Understand and follow-up through change management procedures to implement project deliverables. Coordinate with support groups such as Enterprise Cloud Engineering teams, DevSecOps, Monitoring to get issues resolved with a quick turnaround time. Work with data science user community to address an issue in ML(machine learning) development life cycle. Required Qualifications Bachelor’s or Master’s degree in Computer Science or similar field 4 to 7 years of experience in automation on a major cloud (AWS, Azure or GCP) Experience in infrastructure provisioning using Ansible, AWS Cloud formation or Terraform, Python or PowerShell Working knowledge of AWS Services such as EC2, Cloud Formation, IAM, S3, EMR, ECS/EKS etc. Working knowledge of CI/CD tools and containers. Experience in hadoop administration in resolving hive/spark related issues. Proven understanding of common development tools, patterns and practices for the cloud. Experience writing automated unit tests in a major programming language Proven ability to write quality code by following best practices and guidelines. Strong problem-solving, multi-tasking and organizational skills. Good written and verbal communication skills. Demonstrable experience of working on a team that is geographically dispersed. Preferred Qualifications Experience with managing Hadoop platform and good in debugging hive/spark related issues. Cloud certification (AWS, Azure or GCP) Knowledge of UNIX/LINUX shell scripting About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (2:00p-10:30p) India Business Unit AWMPO AWMP&S President's Office Job Family Group Technology

Overview Come join the "Unified Ingestion Platform (UIP)" under A2D org as a "Data Engineer 2". UIP is a designated paved platform at Intuit for data ingestion/movement from one hosting location to another. As a Data Engineer, you will be working on cutting edge technologies to create a world class data movement platform. This is the place to be if it is your passion to build highly reliable and scalable ingestion capabilities on cloud and push the boundaries of automation! What you'll bring BE/B.Tech/MS in Computer Science (or equivalent) 2 to 5 years of experience in a Data Engineering role with good knowledge of Software engineering. Strong CS fundamentals including data structures, algorithms and distributed systems. Demonstrate robust problem solving, decision-making, and analytical skills. Expert level experience in designing high throughput data solutions / services. Hands-on experience on AWS (EC2, EMR, S3, Athena, EMR, Kinesis, Lambda etc). Knowledge of GCP(DataProc, GCS, BigQuery etc) is a plus. Strong programming knowledge in one of the languages - Java, Scala or Python. Expert level experience in developing data pipelines/solutions using processing engines like Hive, Spark,Spark Streaming, Flink etc Good knowledge on Lake House architecture for data persistence. DeltaLake, Iceberg or Hudi knowledge isa plus Adequate experience with RESTful web services and micro service architectures How you will lead Design and build capabilities to support Batch and Realtime ingestion at scale using open source technologies which are fault tolerant. Design solutions that involve complex, multi-system and multi cloud integration, possibly across BUs or domains End to end engineering – design, development, testing, deployment and operations Ability to work in a dynamic environment, adapt to business requirements using Agile methodologies and DevOps culture Conducts code reviews to ensure code quality, consistency and best practices adherence. Conducts quick Proof of Concept (POCs) for feasibility studies and take it to the prod Lead by example, demonstrating best practices for unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting, and incident response

About This Role In Acceldata Academy You will be our first leader to manage the Acceldata Academy end-to-end, from customer journeys to labs and certifications. Your work will influence how customers, partners, and internal teams learn, succeed, and grow with Acceldata. Key Responsibilities Own the customer enablement and education lifecycle from onboarding to renewal. Build omnichannel touchpoints across email, in-app, and web. Partner with Product, Marketing, and Other CS team members to map user journeys and critical learning moments. Launch content campaigns to improve product usage, reduce support tickets, and drive value realisation hands-on in AI tools for content generation and possess innovative ways to generate multi-modality content. Drive content reporting - usage, effectiveness, sentiment, CSAT. Manage the Acceldata Academy portal and self-serve engagement strategy. Lead the Voice of Customer (VoC) program and implement improvements. Collaborate with our field team, SIs and partners to deliver technical training. What We’re Looking For 10+ years in post-sales enablement and customer education. Proven experience in both CX strategy and technical content development. Good grasp of B2B SaaS data platforms (e.g., Hive, Spark, Snowflake, Kafka, Hadoop). Hands-on with LMS tools, instructional design, and a confident presenter with the ability to simplify deep tech topics. Comfortable leading live trainings and simplifying complex topics and technical storytelling. Strong analytical skills to report on content and customer engagement effectiveness. Bonus: certifications in cloud/data platforms, technical writing, or instructional design. What You’ll Own Strategy & Leadership Define and execute the Acceldata Academy vision across digital CX and technical enablement. Build customer journeys from onboarding to expansion, using omnichannel learning interventions (Email, in-app, Web). Set and track metrics: time to value, usage growth, support deflection, CSAT. Own the Voice of Customer (VoC) program — design surveys, track sentiment, and close the loop on insights. Multi Media Tools - Creative AI Content Creation, Align enablement goals with CS, Product, and GTM teams. Technical Enablement & Content Development Lead content creation: videos, labs, ILTs, eLearning modules, certifications. Convert product features into structured, outcomes-focused learning paths. Manage LMS tools (e.g., TalentLMS) and authoring platforms (Camtasia, Articulate, etc.). Set up and maintain training environments, demo sandboxes, and use-case simulations. Conduct live technical sessions and train-the-trainer programs. At Acceldata , our new Agentic Data Management (ADM) offers solutions by introducing AI-powered agents that collaborate with human teams to proactively monitor, diagnose, and resolve data issues. We are revolutionising data observability in how enterprises manage and observe data by offering comprehensive solutions tailored to each organisation's unique needs. Our platform integrates various technologies, enabling seamless data observability for modern enterprises.

Position - Technical Architect Location - Pune Experience - 6+ Years ABOUT HASHEDIN We are software engineers who solve business problems with a Product Mindset for leading global organizations. By combining engineering talent with business insight, we build software and products that can create new enterprise value. The secret to our success is a fast-paced learning environment, an extreme ownership spirit, and a fun culture. WHY SHOULD YOU JOIN US? With the agility of a start-up and the opportunities of an enterprise, every day at HashedIn, your work will make an impact that matters. So, if you are a problem solver looking to thrive in a dynamic fun culture of inclusion, collaboration, and high performance – HashedIn is the place to be! From learning to leadership, this is your chance to take your software engineering career to the next level. JOB TITLE - Technical Architect B.E/B.Tech, MCA, M.E/M.Tech graduate with 6 -10 Years of experience (This includes 4 years of experience as an application architect or data architect) • Java/Python/UI/DE • GCP/AWS/AZURE • Generative AI-enabled application design pattern knowledge is a value addition. • Excellent technical background with a breadth of knowledge across analytics, cloud architecture, distributed applications, integration, API design, etc • Experience in technology stack selection and the definition of solution, technology, and integration architectures for small to mid-sized applications and cloud-hosted platforms. • Strong understanding of various design and architecture patterns. • Strong experience in developing scalable architecture. • Experience implementing and governing software engineering processes, practices, tools, and standards for development teams. • Proficient in effort estimation techniques; will actively support project managers and scrum masters in planning the implementation and will work with test leads on the definition of an appropriate test strategy for the realization of a quality solution. • Extensive experience as a technology/ engineering subject matter expert i. e. high level • Solution definition, sizing, and RFI/RFP responses. • Aware of the latest technology trends, engineering processes, practices, and metrics. • Architecture experience with PAAS and SAAS platforms hosted on Azure AWS or GCP. • Infrastructure sizing and design experience for on-premise and cloud-hosted platforms. • Ability to understand the business domain & requirements and map them to technical solutions. • Outstanding interpersonal skills. Ability to connect and present to CXOs from client organizations. • Strong leadership, business communication consulting, and presentation skills. • Positive, service-oriented personality OVERVIEW OF THE ROLE: This role serves as a paradigm for the application of team software development processes and deployment procedures. Additionally, the incumbent actively contributes to the establishment of best practices and methodologies within the team. Craft & deploy resilient APIs, bridging cloud infrastructure & software development with seamless API design, development, & deployment • Works at the intersection of infrastructure and software engineering by designing and deploying data and pipeline management frameworks built on top of open-source components, including Hadoop, Hive, Spark, HBase, Kafka streaming, Tableau, Airflow, and other cloud-based data engineering services like S3, Redshift, Athena, Kinesis, etc. • Collaborate with various teams to build and maintain the most innovative, reliable, secure, and cost-effective distributed solutions. • Design and develop big data and real-time analytics and streaming solutions using industry-standard technologies. • Deliver the most complex and valuable components of an application on time as per the specifications. • Plays the role of a Team Lead, manages, or influences a large portion of an account or small project in its entirety, demonstrating an understanding of and consistently incorporating practical value with theoretical knowledge to make balanced technical decisions

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Cloud Architect - Manager As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. The opportunity We’re looking for SeniorManagers (GTM +Cloud/ Big Data Architects) with strong technology and data understanding having proven delivery capability in delivery and pre sales. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your Key Responsibilities Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data. Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 10- 15 years] Need to understand current & Future state enterprise architecture. Need to contribute in various technical streams during implementation of the project. Provide product and design level technical best practices Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions Define and develop client specific best practices around data management within a Hadoop environment or cloud environment Recommend design alternatives for data ingestion, processing and provisioning layers Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies Skills And Attributes For Success Architect in designing highly scalable solutions Azure, AWS and GCP. Strong understanding & familiarity with all Azure/AWS/GCP /Bigdata Ecosystem components Strong understanding of underlying Azure/AWS/GCP Architectural concepts and distributed computing paradigms Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming Hands on experience with major components like cloud ETLs,Spark, Databricks Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks. Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Good knowledge in apache Kafka & Apache Flume Experience in Enterprise grade solution implementations. Experience in performance bench marking enterprise applications Experience in Data security [on the move, at rest] Strong UNIX operating system concepts and shell scripting knowledge To qualify for the role, you must have Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support Responsible for the evaluation of technical risks and map out mitigation strategies Experience in Data security [on the move, at rest] Experience in performance bench marking enterprise applications Working knowledge in any of the cloud platform, AWS or Azure or GCP Excellent business communication, Consulting, Quality process skills Excellent Consulting Skills Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain. Minimum 7 years hand-on experience in one or more of the above areas. Minimum 10 years industry experience Ideally, you’ll also have Strong project management skills Client management skills Solutioning skills What We Look For People with technical experience and enthusiasm to learn new things in this fast-moving environment What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Cloud Architect - Manager As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. The opportunity We’re looking for SeniorManagers (GTM +Cloud/ Big Data Architects) with strong technology and data understanding having proven delivery capability in delivery and pre sales. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your Key Responsibilities Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data. Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 10- 15 years] Need to understand current & Future state enterprise architecture. Need to contribute in various technical streams during implementation of the project. Provide product and design level technical best practices Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions Define and develop client specific best practices around data management within a Hadoop environment or cloud environment Recommend design alternatives for data ingestion, processing and provisioning layers Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies Skills And Attributes For Success Architect in designing highly scalable solutions Azure, AWS and GCP. Strong understanding & familiarity with all Azure/AWS/GCP /Bigdata Ecosystem components Strong understanding of underlying Azure/AWS/GCP Architectural concepts and distributed computing paradigms Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming Hands on experience with major components like cloud ETLs,Spark, Databricks Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks. Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Good knowledge in apache Kafka & Apache Flume Experience in Enterprise grade solution implementations. Experience in performance bench marking enterprise applications Experience in Data security [on the move, at rest] Strong UNIX operating system concepts and shell scripting knowledge To qualify for the role, you must have Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support Responsible for the evaluation of technical risks and map out mitigation strategies Experience in Data security [on the move, at rest] Experience in performance bench marking enterprise applications Working knowledge in any of the cloud platform, AWS or Azure or GCP Excellent business communication, Consulting, Quality process skills Excellent Consulting Skills Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain. Minimum 7 years hand-on experience in one or more of the above areas. Minimum 10 years industry experience Ideally, you’ll also have Strong project management skills Client management skills Solutioning skills What We Look For People with technical experience and enthusiasm to learn new things in this fast-moving environment What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Lexington Partners is one of the worlds largest and most trusted managers of secondary private equity and co-investment funds. Since our founding in 1994, we have been at the forefront of innovation in private equity investing, managing over $70 billion in committed capital and partnering with a global network of institutional investors, private equity firms, and portfolio companies. What are the ongoing responsibilities of Associate Software Engineer (Data Engineer) responsible for? We are building a growing Data and AI team. You will play a critical role in the efforts to centralize structured and unstructured data for the firm. We seek a candidate with skills in data modeling, data management and data governance, and can contribute first-hand towards firms data strategy. The ideal candidate is a self-starter with a strong technical foundation, a collaborative mindset, and the ability to navigate complex data challenges #ASSOCIATE What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science or computer applications; or equivalent experience in lieu of degree with 3 years of industry experience. Strong expertise in data modeling and data management concepts. Experience in implementing master data management is preferred. Sound knowledge on Snowflake and data warehousing techniques. Experience in building, optimizing, and maintaining data pipelines and data management frameworks to support business needs. Proficiency in at least one programming language, preferably python. Collaborate with cross-functional teams to translate business needs into scalable data and AI-driven solutions. Take ownership of projects from ideation to production, operating in a startup-like culture within an enterprise environment. Excellent communication, collaboration, and ownership mindset. Foundational Knowledge of API development and integration. Knowledge of Tableau, Alteryx is good-to-have. Work Shift Timings - 2:00 PM - 11:00 PM IST

Greetings from Infogain! We are having Immediate requirement for Big Data Engineer (Lead) position in Infogain India Pvt ltd. As a Big Data Engineer (Lead), you will be responsible for leading a team of big data engineers. You will work closely with clients and team members to understand their requirements and develop architectures that meet their needs. You will also be responsible for providing technical leadership and guidance to your team. Mode of Hiring-Permanent Skills : (Azure OR AWS) AND Apache Spark OR Hive OR Hadoop AND Spark Streaming OR Apache Flink OR Kafka AND NoSQL AND Shell OR Python. Exp: 10 to 14 years Location: Bangalore/Noida/Gurgaon/Pune/Mumbai/Kochi Notice period- Early joiner Educational Qualification: BE/BTech/MCA/M.tech Working Experience 12-15 years of broad experience of working with Enterprise IT applications in cloud platform and big data environments. Competencies & Personal Traits Work as a team player Excellent problem analysis skills Experience with at least one Cloud Infra provider (Azure/AWS) Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataframe API) or Hive query language (HQL) Experience in building streaming data pipeline using Apache Spark Structured Streaming or Apache Flink on Kafka & Delta Lake Knowledge of NOSQL databases. Good to have experience in Cosmos DB, Restful APIs and GraphQL Knowledge of Big data ETL processing tools, Data modelling and Data mapping. Experience with Hive and Hadoop file formats (Avro / Parquet / ORC) Basic knowledge of scripting (shell / bash) Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL / document databases, flat files Basic understanding of CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops. Basic understanding of DevOps practices using Git version control Ability to debug, fine tune and optimize large scale data processing jobs Can share CV @ arti.sharma@infogain.com Total Exp Experience- Relevant Experience in Big data Relevant Exp in AWS OR Azure Cloud- Current CTC- Exp CTC- Current location - Ok for Bangalore location-

Job Title: Data Engineer (Remote) Working Hours: 4-hour overlap with EST (9 AM–1 PM) Type: Full-Time | Department: Engineering We’re hiring skilled Data Engineers to join our remote tech team. You'll develop scalable, cloud-based data products and lead small teams to deliver high-impact solutions. Ideal candidates bring deep technical expertise and a passion for innovation. Key Responsibilities: Build and optimize scalable data systems and pipelines Design APIs for data integration Lead a small development team, conduct code reviews, mentor juniors Collaborate with cross-functional teams Contribute to architecture and system design Must-Have Skills: 8+ years in Linux, Bash, Python, SQL 4+ years in Spark, Hadoop ecosystem 4+ years with AWS (EMR, Glue, Athena, Redshift) Team leadership experience Preferred: Experience with dbt, Airflow, Hive, data cataloging tools Knowledge of GCP, scalable pipelines, data partitioning/clustering BS/MS/PhD in CS or equivalent experience

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. Function Description: With a focus on digitization, innovation, and analytics, the Enterprise Digital team creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of the team is the integration of diverse skills across all its remit. The American Express Enterprise Digital Experimentation & Analytics (EDEA) leads the Enterprise Product Analytics and Experimentation charter for Brand & Performance Marketing, Digital Acquisition & Membership experiences, Digital Servicing as well as Enterprise Platforms. The focus of this collaborative team is to drive growth by enabling efficiencies in paid performance channels & evolve our digital experiences with actionable insights & analytics. The team specializes in using data around digital product usage to drive improvements in the acquisition customer experience to deliver higher satisfaction and business value. Purpose of the Role: This role will report to the Manager of EDEA team and will be based in Gurgaon. The candidate will be responsible for delivery of highly impactful analytics to optimize our performance marketing channels, Digital experiences (Shop, Referral, Application Exp, MYCA Web, Amex Mobile); Platforms & Labs • Deliver strategic analytics focused on Performance Marketing channels / Digital Acquisition, membership experiences as well as Platforms & Labs • Define and build key KPIs to monitor the channel/product/ platform health and success • Support the development of new products and capabilities • Deliver read out of campaigns uncovering insights and learnings that can be utilized to further optimize the channels • Gain deep functional understanding of the enterprise-wide product capabilities and associated platforms over time and ensure analytical insights are relevant and actionable • Power in-depth strategic analysis and provide analytical and decision support by mining digital activity data along with AXP closed loop data Minimum Qualifications: Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science) Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL. Experience in large data processing and handling, understanding in data science is a plus. Ability to work in a dynamic, cross-functional environment, with strong attention to detail. Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment. Preferred Qualifications: Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner. Basic knowledge of statistical techniques for experimentation & hypothesis testing, regression, t-test, chi-square test. Enterprise Leadership Behaviors: • Set the Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective • Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential • Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Consultant, Advisors Client Services, Performance Analytics Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Provide creative input on projects across a range of industries and problem statements Contribute to the development of analytics strategies and programs for regional and global clients by leveraging data and technology solutions to unlock client value Collaborate with Mastercard team to understand clients’ needs, agenda, and risks Develop working relationship with client analysts/managers, and act as trusted and reliable partner Team Collaboration & Culture Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients Independently identify trends, patterns, issues, and anomalies in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings Lead internal and client meetings, and contribute to project management Contribute to the firm's intellectual capital Receive mentorship from performance analytics leaders for professional growth and development Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings Proficiency using data analytics software (e.g., Python, R, SQL, SAS) Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience in building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI), or working with Hadoop framework and coding using Impala, Hive, or PySpark Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Experience managing tasks or workstreams in a collaborative team environment Ability to identify problems, brainstorm and analyze answers, and implement the best solutions Relevant industry expertise Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Managing Consultant - Analytics Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members’ roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience coaching and managing teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS), building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI) Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Master’s degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) For this role, specific focus on experience with risk, including credit risk, fraud in payments and authorisation of card payments. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Managing Consultant, Strategy & Transformation Overview Associate Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Manage working relationship with client managers, and act as trusted and reliable partner Create predictive models using segmentation and regression techniques to drive profits Review analytics end-products to ensure accuracy, quality and timeliness. Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Team Collaboration & Culture Develop sound business recommendations and deliver effective client presentations Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems and synthesize analyses into relevant findings Lead team and external meetings, and lead or co-lead project management Contribute to the firm's intellectual capital and solution development Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants Develop effective working relationships with local and global teams including business partners Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience working with Hadoop framework and coding using Impala, Hive, or PySpark or working with data visualization tools (e.g., Tableau, Power BI) Experience managing tasks or workstreams in a collaborative team environment Experience coaching junior delivery consultants Relevant industry expertise MBA or master’s degree with relevant specialization (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Managing Consultant, Advisors & Consulting Services, Performance Analytics Associate Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Manage working relationship with client managers, and act as trusted and reliable partner Create predictive models using segmentation and regression techniques to drive profits Review analytics end-products to ensure accuracy, quality and timeliness. Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Team Collaboration & Culture Develop sound business recommendations and deliver effective client presentations Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems and synthesize analyses into relevant findings Lead team and external meetings, and lead or co-lead project management Contribute to the firm's intellectual capital and solution development Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants Develop effective working relationships with local and global teams including business partners Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience working with Hadoop framework and coding using Impala, Hive, or PySpark or working with data visualization tools (e.g., Tableau, Power BI) Experience managing tasks or workstreams in a collaborative team environment Experience coaching junior delivery consultants Relevant industry expertise MBA or master’s degree with relevant specialization (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist, Product Data & Analytics Senior Data Scientist, Product Data & Analytics Our Vision: Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions by working closely with the business. We influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data driven decision making? Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across the continents? Are you interested in proactively looking to improve data driven decisions for a global corporation? Role Responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions. Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post- implementation reviews. Contributes to the development of custom analyses and solutions, derives insights from extracted data to solve critical business questions. Activities include developing and creating predictive models, behavioural segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations. Able to develop AI/ML capabilities, as needed on large volumes of data to support analytics and reporting needs across products, markets and services. Able to build end to end reusable, multi-purpose AI models to drive automated insights and recommendations. Leverage open and closed source technologies to solve business problems. Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets, and services. Support initiatives in developing predictive models, behavioural segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations. Translates client/ stakeholder needs into technical analyses and/or custom solutions in collaboration with internal and external partners, derive insights and present findings and outcomes to clients/stakeholders to solve critical business questions. Create repeatable processes to support development of modelling and reporting Delegate and reviews work for junior level colleagues to ensure downstream applications and tools are not compromised or delayed. Serves as a mentor for junior-level colleagues, and develops talent via ongoing technical training, peer review etc. All About You 6-8 years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other relevant technologies. Data visualization tools (Tableau, Domo, and/or Power BI/similar tools) experience is a plus Experience with data validation, quality control and cleansing processes to new and existing data sources. Experience on Classical and Deep Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, NLP, etc. Experience on Deep Learning algorithm techniques, open-source tools and technologies, statistical tools, and programming environments such as Python, R, and Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning. Experience in automating and creating data pipeline via tools such as Alteryx, SSIS. Nifi is a plus Financial Institution or a Payments experience a plus Additional Competencies Excellent English, quantitative, technical, and communication (oral/written) skills. Ownership of end-to-end Project Delivery/Risk Mitigation Virtual team management and manage stakeholders by influence Analytical/Problem Solving Able to prioritize and perform multiple tasks simultaneously Able to work across varying time zone. Strong attention to detail and quality Creativity/Innovation Self-motivated, operates with a sense of urgency. In depth technical knowledge, drive, and ability to learn new technologies. Must be able to interact with management, internal stakeholders Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must. Abide by Mastercard’s security policies and practices. Ensure the confidentiality and integrity of the information being accessed. Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. #AI Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Software Engineer Overview We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Our Team Within Mastercard – Data & Services The Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the world's largest organizations to make multi-million dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Data Analytics And AI Solutions (DAAI) Program Within the D&S Technology Team, the DAAI program is a relatively new program that is comprised of a rich set of products that provide accurate perspectives on Portfolio Optimization, and Ad Insights. Currently, we are enhancing our customer experience with new user interfaces, moving to API and web application-based data publishing to allow for seamless integration in other Mastercard products and externally, utilizing new data sets and algorithms to further analytic capabilities, and generating scalable big data processes. We are looking for an innovative software engineering lead who will lead the technical design and development of an Analytic Foundation. The Analytic Foundation is a suite of individually commercialized analytical capabilities (think prediction as a service, matching as a service or forecasting as a service) that also includes a comprehensive data platform. These services will be offered through a series of APIs that deliver data and insights from various points along a central data store. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. There are no rigid organizational structures, and each team uses processes that work best for its members and projects. Here are a few examples of products in our space: Portfolio Optimizer (PO) is a solution that leverages Mastercard’s data assets and analytics to allow issuers to identify and increase revenue opportunities within their credit and debit portfolios. Ad Insights uses anonymized and aggregated transaction insights to offer targeting segments that have high likelihood to make purchases within a category to allow for more effective campaign planning and activation. Help found a new, fast-growing engineering team! Position Responsibilities As a Senior Software Engineer, you will: Play a large role in scoping, design and implementation of complex features Push the boundaries of analytics and powerful, scalable applications Design and implement intuitive, responsive UIs that allow issuers to better understand data and analytics Build and maintain analytics and data models to enable performant and scalable products Ensure a high-quality code base by writing and reviewing performant, well-tested code Mentor junior software engineers and teammates Drive innovative improvements to team development processes Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features Collaborate across teams with exceptional peers who are passionate about what they do Ideal Candidate Qualifications 5+ years of full stack engineering experience in an agile production environment Experience leading the design and implementation of large, complex features in full-stack applications Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it Experience coaching and mentoring junior teammates Experience leading a large technical effort that spans multiple people and teams Proficiency with Java/Spring Boot, .NET/C#, SQL Server or other object-oriented languages, front-end frameworks, and/or relational database technologies Some proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms Some experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python Strong technologist with proven track record of learning new technologies and frameworks Customer-centric development approach Passion for analytical / quantitative problem solving Experience identifying and implementing technical improvements to development processes Collaboration skills with experience working with people across roles and geographies Motivation, creativity, self-direction, and desire to thrive on small project teams Superior academic record with a degree in Computer Science or related technical field Strong written and verbal English communication skills Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Software Engineer II We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Product Manager - Business Analytics Overview At Mastercard Data & Services, we empower organizations worldwide with the tools to make smarter, data-driven decisions. Our portfolio goes beyond transactions to deliver real-time, anonymized, and aggregated data insights, powerful software platforms, and unmatched analytical expertise. We work with leading players across industries—banking, retail, telecommunications, travel, and more—to unlock value through innovative data and analytics solutions. We are seeking a Product Specialist for our Targeting Analytics Product Management team to support the evolution of our Merchant Analytics product suite. This role requires a blend of strategic vision, technical depth, and a strong customer-centric mindset. Role Summary As a Product specialist, you will play a hands-on role in the design, development, and enhancement of Mastercard’s Merchant Analytics product suite. You’ll work directly with data, define product requirements, perform detailed analysis, and collaborate closely with engineering, design, and program management teams to bring scalable analytics products to life. You'll be deeply involved across the product lifecycle—from ideation and backlog management to UAT and production monitoring-ensuring that every feature shipped delivers meaningful value to our customers. You will also partner with commercial teams to support product rollouts, build internal documentation, and troubleshoot issues as part of a lean, agile, and high-impact product team. Key Responsibilities Product Development & Management Define business and technical requirements for product enhancements and new solutions. Lead product backlog grooming, sprint planning, and reviews in an Agile environment. Guide the technical roadmap in partnership with engineering and design teams. Operational Excellence Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients Lead product operations for ongoing enhancement, automation, and delivery. Promote and institutionalize documentation best practices for knowledge continuity. Client Impact Independently identify trends, patterns, issues, and anomalies in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings Translate client problems into actionable product requirements. Collaborate directly with clients and delivery teams to shape and refine solutions. Ensure solutions are designed to generate measurable value and customer success. Lead internal and client meetings, and contribute to project management Cross-functional Leadership Foster a collaborative, high-performance culture within cross-functional teams. Serve as a mentor for junior analysts and product contributors. Drive adoption of product management processes and tools across the team. Qualifications Basic Requirements 4-9 years of overall career experience in Performance Analytics or 2-3 years post MBA/Masters experience In Business Analytics, Computer Science, or related field with 1+ years in Agile product management Strong experience with SQL and Python for data analysis. Exposure to big data tools (Hadoop, Hive, Impala, PySpark) Ability to analyze large datasets and synthesize key findings Strong verbal and written communication skills with the ability to simplify technical topics. Proven experience influencing diverse stakeholders and managing competing priorities. Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Preferred Qualifications Experience working with data visualization tools (e.g., Tableau, Power BI). Experience embedding ML models into analytical platforms. Familiarity with Studio frameworks, Agile rituals, and CI/CD tools. Corporate Security Responsibilities All Mastercard Employees Are Responsible For Following Mastercard’s information security policies and practices. Safeguarding Mastercard’s data and systems from unauthorized access or disclosure. Reporting potential security incidents and completing required training programs. Why Join Us Shape the future of data-driven decision-making. Work on cutting-edge analytical and AI solutions. Collaborate with a diverse, global team of experts. Contribute to high-impact products used by clients worldwide. If you’re passionate about turning data into scalable products and driving real business impact, we invite you to be part of our journey. Apply Now to be a part of Mastercard’s data innovation revolution. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Manager Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities Experience All About You Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: Confluence (Documentation) Bitbucket/Stash (Code Sharing) Shared Folders (File Sharing) ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required #AI1 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities Experience All About You Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: Confluence (Documentation) Bitbucket/Stash (Code Sharing) Shared Folders (File Sharing) ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Hi All, Greeting! We have hirings at Gurugram Location for following role: Hands on in SQL and its Big Data variants (Hive-QL, Snowflake ANSI, Redshift SQL) Python and Spark and one or more of its API (PySpark, Spark SQL, Scala), Bash/Shell scripting Experience with Source code control - GitHub, VSTS etc. Knowledge and exposure to Big Data technologies Hadoop stack such as HDFS, Hive, Impala, Spark etc, and cloud Big Data warehouses - RedShift, Snowflake etc. Experience with UNIX command-line tools. Exposure to AWS technologies including EMR, Glue, Athena, Data Pipeline, Lambda, etc Understanding and ability to translate/physicalise Data Models (Star Schema, Data Vault 2.0 etc) Design, develop, test, deploy, maintain and improve software Develop flowcharts, layouts and documentation to identify requirements & solutions Skill: AWS+ SQL+ Python is Mandatory Experience- 4 to 12 years NOTE: _____Face to face______ interview Happening In Gurugram office on 2nd Augt- 2025--- <<<<<<>>>>>> NOTE: WE NEED PEOPLE WHO CAN JOIN BY September MAX. Apply at rashwinder.kaur@qmail.quesscorp.com

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Managing Consultant-2 Associate Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Manage working relationship with client managers, and act as trusted and reliable partner Create predictive models using segmentation and regression techniques to drive profits Review analytics end-products to ensure accuracy, quality and timeliness. Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Team Collaboration & Culture Develop sound business recommendations and deliver effective client presentations Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems and synthesize analyses into relevant findings Lead team and external meetings, and lead or co-lead project management Contribute to the firm's intellectual capital and solution development Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants Develop effective working relationships with local and global teams including business partners Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience working with Hadoop framework and coding using Impala, Hive, or PySpark or working with data visualization tools (e.g., Tableau, Power BI) Experience managing tasks or workstreams in a collaborative team environment Experience coaching junior delivery consultants Relevant industry expertise MBA or master’s degree with relevant specialization (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.