7053 Hadoop Jobs - Page 25

Job Title:SQL, AWS Redshift, PostgreSQLExperience10-15 YearsLocation:Bangalore : SQL, AWS Redshift, PostgreSQL

Job Title:ETL SMEExperience6-8YearsLocation:Bangalore : Technical Skills: Sound Knowledge of Data warehousing concepts, terminology, and Architecture. Excellent ETL (Including XML) Design and development Experience Good understanding of the commonly used transformations like Source qualifier, joiners, union, aggregator, sorter, expressions, transaction control, xml transformation, lookups etc Ability to understand mapping document and translate the same to Informatica Mapping Ability to create CDC, SCD, Fact loads and complex mappings with Informatica Sound concepts of RDBMS with hands on with performance tuning of ETL / DB / SQL Queries Good knowledge of UNIX with ability to create Unix/Linux shell scripts to run ETL jobs and trap any failures. Skill in gathering and documenting user requirements and writing technical specifications Good knowledge of SDLC for projects using DW concepts and Client/Server technologies. Create detail mapping documents, module spec and unit test cases Hand on with informatica development, Configuration and Performance tuning Non-Technical Skill Well-developed analytical & problem-solving skills Strong oral and written communication skills Excellent team player, able to work with virtual teams Ability to learn quickly in a dynamic start-up environment Able to talk to client directly and report to client/onsite Flexibility to work on different Shifts and Stretch Flexible to travel and relocate in India and Abroad

Job Title:TPM- Data Engineering or Background Development .Experience5-10YearsLocation:Bangalore : TPM, Data Engineering, Background Development.

Job Title:DEVOPS- AWS Glue, KMS, ALB , ECS and Terraform/TerragruntExperience5-10YearsLocation:Bangalore : DEVOPS, AWS, Glue, KMS, ALB , ECS, Terraform, Terragrunt

Job Title:Data AnalystExperience5-10 YearsLocation:Bangalore, Pune : SQL, Pyspark, Baning Domain, Data analyst

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. R-251749

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? In this role, the person will report to the Product Manager – Travel & Lifestyle Services, this role is an exciting opportunity for a PO/Analyst, the person will be working on data related products and to maintain quality of data for TLS in the Big Data Platform Cornerstone. Minimum Qualifications 5+ years’ experience in travel domain or minimum background in financial domain At least 5 years of experience in technology product management or data-related products. At least 5 years of experience in Software Architecture and Software Development. 3 years’ experience with SQL Experience with agile methodologies, i.e., rally, agile. An ability to solve complex problems and a highly analytical approach. Demonstrate the ability to learn and be curious to understand and master the travel domain. You are excited and passionate for the travel domain. Self-starter with the ability to think creatively and strategically Strong communication and stakeholder management skills Excellent communication skills with the ability to engage, influence, and inspire partners to drive collaboration and alignment. Demonstrate the ability to maintain a positive attitude and sense of humor in the face of chaos and challenges Has a successful record of leading and coordinating business, delivery, and technology teams to define, prioritize, and deliver on a product roadmap Strong product management skills that will take full ownership from analysis through implementation. High degree of organization, individual initiative, and personal accountability. Platform Knowledge Experience working w/ Hadoop and Big Data Platform – Cornerstone, Google Cloud Platform (GCP) Proficient in Microsoft Suit, Power BI, Tableau, and SQL Education Bachelors in related fields (Computer Science, Information Technology, Engineer, Electronics) Preferred Qualifications Masters in related in fields (Computer Science, Information Technology, Engineer, Electronics) We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: 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.

Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your Impact You will work in multi-disciplinary global Life Science focused environments, harnessing data to provide real-world impact for organizations globally. Our Life Sciences practice focuses on helping clients bring life-saving medicines and medical treatments to patients. This practice is one of the fastest growing practices and is comprised of a tight-knit community of consultants, research, solution, data, and practice operations colleagues across the firm. It is also one of the most globally connected sector practices, offering ample global exposure. The LifeSciences.AI (LS.AI) team is the practice’s assetization arm, focused on creating reusable digital and analytics assets to support our client work. LS.AI builds and operates tools that support senior executives in pharma and device manufacturers, for whom evidence-based decision-making and competitive intelligence are paramount. The team works directly with clients across Research & Development (R&D), Operations, Real World Evidence (RWE), Clinical Trials and Commercial to build and scale digital and analytical approaches to addressing their most persistent priorities. What you’ll learn: How to apply data and machine learning engineering, as well as product development expertise, to address complex client challenges through part-time staffing on client engagements. How to support the manager of data and machine learning engineering in developing a roadmap for data and machine learning engineering assets across cell-level initiatives. How to productionalize AI prototypes and create deployment-ready solutions. How to translate engineering concepts and explain design/architecture trade-offs and decisions to senior stakeholders. How to write optimized code to enhance our AI Toolbox and codify methodologies for future deployment. How to collaborate effectively within a multi-disciplinary team. How to leverage new technologies and apply problem-solving skills in a multicultural and creative environment. You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through analytics solutions to transform their businesses and enhance performance across industries including life sciences, global energy and materials (GEM), and advanced industries (AI) practices. Real-World Impact – We provide unique learning and development opportunities internationally. Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programs at all levels. Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity – With colleagues from over 40 nationalities, we recognize the benefits of working with people from all walks of life. Your Qualifications and Skills Bachelor's degree in computer science or related field; master's degree is a plus 3+ years of relevant work experience Experience with at least one of the following technologies: Python, Scala, Java, C++ & ability to write production code and object-oriented programming Strong proven experience on distributed processing frameworks (Spark, Hadoop, EMR) and SQL / NoSQL is very much expected Commercial client- facing project experience is helpful, including working in close-knit teams Additional expertise with Python testing frameworks, data validation and data quality frameworks, feature engineering, chunking, document ingestion, graph data structures (i.e., Neo4j), basic K8s (manifests, debugging, docker, Argo Workflows), MLflow deployment and usage, generative AI frameworks (LangChain), GPUs is a plus Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets Proven ability in clearly communicating complex solutions; strong attention to detail Understanding of information security principles to ensure compliant handling and management of client data Experience and interest in Cloud platforms such as: AWS, Azure, Google Platform or Databricks Experience with cloud development platforms such as AWS, Azure, Google (and appropriate Bash/Shell scripting) Good to have experience in CI/CD using GitHub Actions or CircleCI or any other CI/CD tech stack and experience in end to end pipeline development including application deployment

Primary Job Responsibilities • Works with business units and Product Dev teams to design, develop and deliver AI & GenAI powered solutions on one of the largest compliance platforms in the world. • Conduct in-depth analysis on business systems/products/data to uncover trends, patterns, and actionable insights that drive business initiatives; • Collaborate with global tech partners, including product managers and developers to develop and enhance the insight tools and processes, to improve insights-driven decision-making. Basic Requirements • Experienced in enterprise business systems analysis. • Strong working knowledge of SQL query language and data models. • Good knowledge on statistics, machine learning and AI tools. • Excellent documentation and communication proficiency in English to effectively document work progress and convey results to stakeholders. • Proven team player adept at collaborating with cross-functional teams to swiftly address data-related questions. Big Plus: • Technical and tactical experience related to BI and/or data warehouse development, and a strong understanding of how the technologies to be used to deliver the right solutions. • Working knowledge of Hadoop, AI/ML, LLM. • Experience in Risk and Compliance domain.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Join Team Amex and let's lead the way together. From building next-generation apps and microservices in Kotlin to using AI to help protect our franchise and customers from fraud, you could be doing entrepreneurial work that brings our iconic, global brand into the future. As a part of our tech team, we could work together to bring ground-breaking and diverse ideas to life that power our digital systems, services, products and platforms. If you love to work with APIs, contribute to open source, or use the latest technologies, we’ll support you with an open environment and learning culture. Function Description: American Express is looking for energetic, successful and highly skilled Engineers to help shape our technology and product roadmap. Our Software Engineers not only understand how technology works, but how that technology intersects with the people who count on it every day. Today, innovative ideas, insight and new points of view are at the core of how we create a more powerful, personal and fulfilling experience for our customers and colleagues, with batch/real-time analytical solutions using ground-breaking technologies to deliver innovative solutions across multiple business units. This Engineering role is based in our Global Risk and Compliance Technology organization and will have a keen focus on platform modernization, bringing to life the latest technology stacks to support the ongoing needs of the business as well as compliance against global regulatory requirements. Qualifications: Support the Compliance and Operations Risk data delivery team in India to lead and assist in the design and actual development of applications. Responsible for specific functional areas within the team, this involves project management and taking business specifications. The individual should be able to independently run projects/tasks delegated to them. Technology Skills: Bachelor degree in Engineering or Computer Science or equivalent 2 to 5 years experience is required GCP professional certification - Data Engineer Expert in Google BigQuery tool for data warehousing needs. Experience on Big Data (Spark Core and Hive) preferred Familiar with GCP offerings, experience building data pipelines on GCP a plus Hadoop Architecture, having knowledge on Hadoop, Map Reduce, Hbase. UNIX shell scripting experience is good to have Creative problem solving (Innovative) We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: 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.

You Lead the Way. We’ve Got Your Back. At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day. We back our colleagues with the support they need to thrive, professionally and personally. That’s why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. We are building an energetic, high-performance team with a nimble and creative mindset to drive our technology and products. American Express (AXP) is a powerful brand, a great place to work and has unparalleled scale. Join us for an exciting opportunity in the Marketing Technology within American Express Technologies. How will you make an impact in this role? There are hundreds of opportunities to make your mark on technology and life at American Express. Here's just some of what you'll be doing: As a part of our team, you will be developing innovative, high quality, and robust operational engineering capabilities. Develop software in our technology stack which is constantly evolving but currently includes Big data, Spark, Python, Scala, GCP, Adobe Suit ( like Customer Journey Analytics ). Work with Business partners and stakeholders to understand functional requirements, architecture dependencies, and business capability roadmaps. Create technical solution designs to meet business requirements. Define best practices to be followed by team. Taking your place as a core member of an Agile team driving the latest development practices Identify and drive reengineering opportunities, and opportunities for adopting new technologies and methods. Suggest and recommend solution architecture to resolve business problems. Perform peer code review and participate in technical discussions with the team on the best solutions possible. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers' digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. American Express offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology of #TeamAmex. Minimum Qualifications: · BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience. · 5+ years of hands-on software development experience with Big Data & Analytics solutions – Hadoop Hive, Spark, Scala, Hive, Python, shell scripting, GCP Cloud Big query, Big Table, Airflow. · Working knowledge of Adobe suit like Adobe Experience Platform, Adobe Customer Journey Analytics, CDP. · Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability. · Design and development experience with Kafka, Real time ETL pipeline, API is desirable. · Experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies. · Certifications in cloud platform (GCP Professional Data Engineer) is a plus. · Understanding of distributed (multi-tiered) systems, data structures, algorithms & Design Patterns. · Strong Object-Oriented Programming skills and design patterns. · Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git, Maven). · Good knowledge and experience with configuration management tools like GitHub · Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively. · Looks proactively beyond the obvious for continuous improvement opportunities. · Communicates effectively with product and cross functional team. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: 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 Associate Managing Consultant, Advisors Client 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 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 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 Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures Strong experience in authorization, fraud and/or experience in credit risk 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) Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results. 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. R-253632

Key Responsibilities: Platform Stabilization & Operational Excellence: Accountable for stable, reliable, and secure operations across all Datawarehouse applications, ensuring adherence to defined SLAs and KPIs. Assess the current data platform architecture, identify bottlenecks, and implement solutions to ensure high availability, reliability, performance, and scalability. Establish robust monitoring, alerting, and incident management processes for all data pipelines and infrastructure. Drive initiatives to improve data quality, consistency, and trustworthiness across the platform. Oversee the operational health and day-to-day management of existing data systems during the transition period. Manage relationships with strategic vendors across the enterprise applications landscape, ensuring strong performance, innovation contributions, and commercial value. Platform Modernization & Architecture: Define and execute a strategic roadmap for modernizing PerkinElmer's data platform, leveraging cloud-native technologies (AWS, Azure, or GCP) and modern data stack components (e.g., data lakes/lakehouses, Data Fabric/Mesh architectures, streaming platforms like Kafka/Kinesis, orchestration tools like Airflow, ELT/ETL tools, containerization). Lead the design and implementation of a scalable, resilient, and cost-effective data architecture that meets current and future business needs. (DaaS) Champion and implement DataOps principles, including CI/CD, automated testing, and infrastructure-as-code, to improve development velocity and reliability. Stay abreast of emerging technologies and industry trends, evaluating and recommending new tools and techniques to enhance the platform. Leadership & Strategy: Build, mentor, and lead a world-class data engineering team, fostering a culture of innovation, collaboration, and continuous improvement. Develop and manage the data engineering budget, resources, and vendor relationships. Define the overall data engineering vision, strategy, and multi-year roadmap in alignment with PerkinElmer's business objectives. Effectively communicate strategy, progress, and challenges to executive leadership and key stakeholders across the organization. Drive cross-functional collaboration with IT, Security, Enterprise Apps, R&D, and Business Units. Data Monetization Enablement: Partner closely with business leaders, enterprise app teams, and other business teams to understand data needs and identify opportunities for data monetization. Architect data solutions, APIs, and data products that enable the creation of new revenue streams or significant internal efficiencies derived from data assets. Ensure robust data governance, security, and privacy controls are embedded within the platform design and data products, adhering to relevant regulations (e.g., GDPR, HIPAA where applicable). Build the foundational data infrastructure required to support advanced analytics, machine learning, and AI initiatives. Basic Qualifications Required Qualifications & Experience Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related quantitative field. 15+ years of experience in data engineering, data architecture and/or data warehousing. 5+ years of experience in a leadership role, managing data engineering teams and driving large-scale data initiatives. Proven track record of successfully leading the stabilization, modernization, and scaling of complex data platforms. Deep expertise in modern data architecture patterns (Data Lakes, Data Warehouses, Lakehouses, Lambda/Kappa architectures). Extensive hands-on experience with cloud data platforms (AWS, Azure, or GCP – specify preferred if applicable) and their associated data services (e.g., S3/ADLS/GCS, Redshift/Synapse/BigQuery, EMR/Dataproc/Databricks, Kinesis/Kafka/Event Hubs, Glue/Data Factory/Dataflow). Strong experience with big data technologies (e.g., Spark, Hadoop ecosystem) and data processing frameworks. Proficiency with data pipeline orchestration tools (e.g., Airflow, Prefect, Dagster). Solid understanding of SQL and NoSQL databases, data modeling techniques, and ETL/ELT development. Experience with programming languages commonly used in data engineering (e.g., Python, Scala, Java). Excellent understanding of data governance, data security, and data privacy principles and best practices. Exceptional leadership, communication, stakeholder management, and strategic thinking skills. Demonstrated ability to translate business requirements into technical solutions.

SLK Software is seeking a skilled and passionate Data Engineer to join our growing data team. The ideal candidate will have a strong understanding of data engineering principles, experience building and maintaining data pipelines, and a passion for working with data to solve business problems. Job Summary: The Data Engineer is responsible for designing, building, and maintaining the infrastructure that enables us to collect, process, and store data. This includes developing data pipelines, building data warehouses, and ensuring data quality and availability. You will play a crucial role in empowering our data scientists and analysts to extract valuable insights from our data. Responsibilities: Data Pipeline Development: Design, build, and maintain robust and scalable data pipelines to ingest, process, and transform data from various sources. Data Warehousing: Design and implement data warehouses and data lakes to store and manage large datasets. ETL Processes: Develop and optimize ETL

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. R-251749

Required Skills: Hands-on experience in Big Data technologies. Proficient in Apache Hive writing complex queries, partitioning, bucketing, and performance tuning. Strong programming experience with PySpark – RDDs, DataFrames, Spark SQL, UDFs. Experience in working with Hadoop ecosystem (HDFS, YARN, Oozie, etc.). Good understanding of distributed computing principles and data formats like Parquet, Avro, ORC. Strong SQL and debugging skills. Familiarity with version control tools like Git and workflow schedulers like Airflow or Oozie. Preferred Skills: Exposure to cloud-based big data platforms such as AWS EMR, Azure Data Lake, or GCP Dataproc. Experience with performance tuning of Spark jobs and Hive queries. Knowledge of Scala or Java is a plus. Familiarity with data governance, data masking, and security best practices. Experience with CI/CD pipelines, Docker, or container-based deployments is an advantage.

# Data Analytics and Data Science Trainer ## About the Role We are seeking an experienced Data Analytics and Data Science Trainer to develop and deliver comprehensive training programs for professionals looking to enhance their skills in data analysis, statistical methods, and machine learning. The ideal candidate will combine technical expertise with exceptional teaching abilities to create engaging learning experiences that transform complex concepts into practical skills. ## Key Responsibilities - Design, develop, and deliver training courses covering data analytics, statistics, data visualization, and machine learning - Create hands-on exercises, projects, and assessments that reinforce learning outcomes - Adapt training content and delivery methods to accommodate different learning styles and skill levels - Stay current with emerging trends and technologies in data science and analytics - Evaluate training effectiveness and iterate on content based on participant feedback - Provide mentorship and guidance to learners beyond formal training sessions - Collaborate with subject matter experts to ensure technical accuracy of training materials - Develop supplementary learning resources including documentation, guides, and reference materials ## Qualifications - Bachelor's degree in Statistics, Computer Science, Mathematics, or related field; Master's degree preferred - 3+ years of practical experience in data analytics, data science, or related field - Proven track record of developing and delivering technical training - Strong programming skills in Python or R with focus on data analysis libraries - Experience with SQL, data visualization tools, and machine learning frameworks - Excellent communication and presentation skills with ability to explain complex concepts clearly - Knowledge of adult learning principles and instructional design techniques - Experience with learning management systems and virtual training delivery platforms ## Preferred Skills - Industry certifications in data science, analytics, or machine learning - Experience mentoring junior data professionals - Knowledge of business intelligence tools (Tableau, Power BI, etc.) - Experience with big data technologies (Hadoop, Spark) - Background in a specific industry vertical (finance, healthcare, retail, etc.) ## What We Offer - Competitive salary and benefits package - Continuous professional development opportunities - Collaborative and innovative work environment - Flexible work arrangements - Opportunity to shape the data skills of future professionals We value diversity of thought and experience and encourage applications from candidates of all backgrounds who are passionate about data education. Job Type: Full-time Ability to commute/relocate: Ratlam, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Experience: Analytics: 1 year (Preferred) Location: Ratlam, Madhya Pradesh (Preferred) Work Location: In person

Roles and Responsibilities: Data Pipeline Development: Design, develop, and maintain scalable data pipelines to support ETL (Extract, Transform, Load) processes using tools like Apache Airflow, AWS Glue, or similar. Database Management: Design, optimize, and manage relational and NoSQL databases (such as MySQL, PostgreSQL, MongoDB, or Cassandra) to ensure high performance and scalability. SQL Development: Write advanced SQL queries, stored procedures, and functions to extract, transform, and analyze large datasets efficiently. Cloud Integration: Implement and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud, utilizing services like Redshift, BigQuery, or Snowflake. Data Warehousing: Contribute to the design and maintenance of data warehouses and data lakes to support analytics and BI requirements. Programming and Automation: Develop scripts and applications in Python or other programming languages to automate data processing tasks. Data Governance: Implement data quality checks, monitoring, and governance policies to ensure data accuracy, consistency, and security. Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and translate them into technical solutions. Performance Optimization: Identify and resolve performance bottlenecks in data systems and optimize data storage and retrieval. Documentation: Maintain comprehensive documentation for data processes, pipelines, and infrastructure. Stay Current: Keep up-to-date with the latest trends and advancements in data engineering, big data technologies, and cloud services. Required Skills and Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field. Technical Skills: Proficiency in SQL and relational databases (PostgreSQL, MySQL, etc.). Experience with NoSQL databases (MongoDB, Cassandra, etc.). Strong programming skills in Python; familiarity with Java or Scala is a plus. Experience with data pipeline tools (Apache Airflow, Luigi, or similar). Expertise in cloud platforms (AWS, Azure, or Google Cloud) and data services (Redshift, BigQuery, Snowflake). Knowledge of big data tools like Apache Spark, Hadoop, or Kafka is a plus. Data Modeling: Experience in designing and maintaining data models for relational and non-relational databases. Analytical Skills: Strong analytical and problem-solving abilities with a focus on performance optimization and scalability. Soft Skills: Excellent verbal and written communication skills to convey technical concepts to non-technical stakeholders. Ability to work collaboratively in cross-functional teams. Certifications (Preferred): AWS Certified Data Analytics, Google Professional Data Engineer, or similar. Mindset: Eagerness to learn new technologies and adapt quickly in a fast-paced environment.

Responsible for developing, optimize, and maintaining business intelligence and data warehouse systems, ensuring secure, efficient data storage and retrieval, enabling self-service data exploration, and supporting stakeholders with insightful reporting and analysis. Grade - T5 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date Accountabilities What your main responsibilities are: Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity Data Integration - Connect offline and online data to continuously improve overall understanding of customer behavior and journeys for personalization. Data pre-processing including collecting, parsing, managing, analyzing and visualizing large sets of data Data Quality Management - Cleanse the data and improve data quality and readiness for analysis. Drive standards, define and implement/improve data governance strategies and enforce best practices to scale data analysis across platforms Data Transformation - Processes data by cleansing data and transforming them to proper storage structure for the purpose of querying and analysis using ETL and ELT process Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper and more timely understanding of operation. Qualifications & Specifications Masters /Bachelor’s degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Strong programming skills in Python/Pyspark/SAS. Proven experience with large data sets and related technologies – Hadoop, Hive, Distributed computing systems, Spark optimization. Experience on cloud platforms (preferably Azure) and it's services Azure Data Factory (ADF), ADLS Storage, Azure DevOps. Hands-on experience on Databricks, Delta Lake, Workflows. Should have knowledge of DevOps process and tools like Docker, CI/CD, Kubernetes, Terraform, Octopus. Hands-on experience with SQL and data modeling to support the organization's data storage and analysis needs. Experience on any BI tool like Power BI (Good to have). Cloud migration experience (Good to have) Cloud and Data Engineering certification (Good to have) Working in an Agile environment 4-6 Years Of Relevant Work Experience Is Required. Experience with stakeholder management is an added advantage. What We Are Looking For Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred. Knowledge, Skills And Abilities Fluency in English Analytical Skills Accuracy & Attention to Detail Numerical Skills Planning & Organizing Skills Presentation Skills Data Modeling and Database Design ETL (Extract, Transform, Load) Skills Programming Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

Job description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Software Engineer In this role, you will: Provide expert technical guidance and solutions to the POD for complex business problems Design, develop, and implement technical solutions, ensuring they meet business requirements and are scalable and maintainable Troubleshoot and resolve escalated technical issues instantly. Experience in providing risk assessment for new functionality and enhancements As an ITSO (IT Service Owner), complete BOW tasks within the timelines and ensure that your application services are vulnerability, ICE, resiliency, and contingency testing compliant. As an ITSO, ensure that application have an effective escalation and support framework in place for all IT production Incidents and one that shall meet the agreed operational and service level agreements of business Accountable for leading the POD Sound Knowledge of corporate finance experience exhibiting knowledge of Interest rate risk in the banking book Experience with Agile delivery methodologies (JIRA, Scrum, FDD, SAFe) Experience with DevOps tools (Jenkins, Ansible, Git) Requirements To be successful in this role, you should meet the following requirements: Graduation in technology (B.E, B.Tech & Above) with 5+ years of IT experience. Strong knowledge on Pentaho ETL tool with map reduce build knowledge Writing complex SQL queries Good knowledge on Shell scripting, Python, Java Exposure to Hadoop and Bigdata is plus Infrastructure as Code & CICD – Git, Ansible, Jenkins Having experience in working in Agile/DevOps env. Monitoring, Alerting, Incident Tracking, Reporting, etc. Good understanding of Google cloud and latest tools/technologies exposure will be add-on. You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Join Micron’s ambitious Global Facilities SMART Facilities team, where you will play a pivotal role in transforming data into actionable insights to optimize our world-class facilities! We are seeking a dynamic and innovative manager to lead our efforts and develop our team members. Responsibilities: Lead and manage a team of data scientists and data engineers, encouraging a collaborative and innovative environment. Develop and implement data strategies that support the company's global facilities operations. Create, build, and maintain data pipelines to process and analyze large volumes of facilities data. Design and deploy machine learning models and data analytics tools to optimize facilities management and operations. Collaborate with cross-functional teams to integrate data solutions into existing systems. Design, develop, deploy, and maintain AI solutions that provide operational benefits. Minimum Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field. Minimum of 5 years of experience in data science and data engineering roles. Proven track record of leading and managing high-performing teams. Excellent communication and interpersonal skills. Strong problem-solving and analytical abilities. Preferred Qualifications: Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake. Proficiency in programming languages such as Python, Java, and SQL. Knowledge of sophisticated analytics and predictive modeling. Familiarity with cloud computing platforms such as AWS, Azure, and Google Cloud. Understanding of big data technologies and frameworks like Hadoop and Spark. This is an outstanding chance to create a significant impact on the efficiency and effectiveness of Micron’s global facilities through the power of data. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* Policy Oversight and Governance is responsible for management, oversight, and creation of the Data, Records, Regulatory and risk Reporting, Standards and quality assurance of adherence. The process revolves around building a robust governance structure to ensure policy adherence across enterprise. Overall QA process shall ensure quality and standard conformance based on set policy guidelines. Job Description* As part of the ESDGO, Policy and QA Enablement team, the role is focused on supporting policy owners and QA owners through solution that provides execution and operational efficiencies. This role requires the ability to develop and own end to end processes, maintain existing code, analyze report requirements, and develop based on requirements using SharePoint, JavaScript, Tableau, and/or other technology recommended tools. Knowledge of Regulatory Reporting Policy and Risk Data Aggregation Policy is a benefit. This position requires the ability to communicate effectively and work across multiple teams to support various initiatives. Self motivated, responsible, and due diligence are key drivers to be successful in this role. Responsibilities* Responsible for supporting business process automation through SharePoint, JavaScript and other necessary tools. Responsible for performing more complex analysis for minimizing risk and operating losses and/or other financial and marketing exposures. Utilizes portfolio trends to propose policy/procedural changes within segmentation structure to produce optimal results. Excels at risk/reward trade off. Build relationships with internal partners. Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors. Experience with systems functional analysis, technology business analysis, and basic understanding of the different technical platforms, SharePoint (or similar tools), databases, and related technologies Proficiency in SharePoint, DFFS, Nintex, JavaScript/JQuery Good expertise in SQL/T-SQL Experience with Enterprise Databases; MS SQL Server, Oracle, Hadoop, Teradata Ability to work in a fast pace environment Ability to translate high level business requirements into technical data requirements Strong communication skills (verbal, written and presentations) Strong attention to detail and due diligence Requirements* Education* Graduation / Post Graduation Certifications If Any: Experience Range* 5 - 7 Years Foundational Skills* Experience with systems functional analysis, technology business analysis, and basic understanding of the different technical platforms, SharePoint (or similar tools), databases, and related technologies Proficiency in SharePoint, DFFS, Nintex, JavaScript/JQuery Good expertise in SQL/T-SQL Desired Skills* Tableau expertise Alteryx experience Proficiency in SQL/T-SQL Work Timings* 11:30 am – 8:30 pm IST Job Location* Hyderabad

Job description We are seeking for the role of Consultant Specialist In this role, you will have to: A senior full stack Automation test engineer with experience and knowledge in Software Automation testing using Tosca, Selenium and other tools, knowledge of ETL tools like Data stage, Dataflow, SQL, Shell scripting, Control-M, API Development, Design Patterns, SDLC, IaC tools, testing and site reliability engineering. Need deep understanding of Desktop, Web, Data warehouse application automating testing, API testing, related ways to design and develop automation framework. Proven experience in writing automation test scripts, conducting reviews, building test packs for regression, smoke, integration testing scenarios. Identify ways to increase test coverage, metric based test status reporting, manage defect lifecycle Define and implement best practices for software automation testing (framework, patterns, standards, reviews, coverage, requirement traceability), including testing methodologies. Be a generalist with the breadth and depth of experience in CICD best practices and has core experience in testing (i.e. TDD/BDD/Automated testing/Contract testing/API testing/Desktop/web apps, DW test automation) Able to see a problem or an opportunity with the ability to engineer a solution, be respected for what they deliver not just what they say, should think about the business impact of their work and has a holistic view to problem- solving. Apply thinking to many problems across multiple technical domains and suggest way to solve the problems. Contributes to architectural discussions by asking the right questions to ensure a solution matches the business needs. Excellent verbal and written communication skills to articulate technical concepts to both technical and non-technical stakeholders. Represent at Scrum meetings and all other key project meetings and provide a single point of accountability and escalation for Automation testing within the scrum teams. Work with cross-functional team, opportunity to work with software product, development, and support teams, capable of handling tasks to accelerate the testing delivery and to improve the quality for Applications at HSBC. Willing to adapt, learn innovative technologies/tools and be flexible to work on projects as demanded by business. Requirements To be successful in this role, you must meet the following requirements: Experience in software testing approaches on automation testing using Tosca, Selenium, cucumber BDD framework. Experienced on writing test plans, test strategy, test data management includes test artifacts management for both automation and manual testing. Experience on setting up CI/CD pipeline and work experience on GitHub, Jenkins along with integration to cucumber and Jira. Experience in agile methodology and proven experience in working on agile projects. Experience in analysis of bug tracking, prioritizing and bug reporting with bug tracking tools. API Automation using Rest Assured. Communicate effectively with stakeholders across the Bank. Experience in SQL, Unix, Control-M, ETL, Data Testing, API testing. Expert level experience on Jira and Zephyr. Good to have skills: Knowledge on latest technology, tools like, GITHUB Co Pilot, Python Scripting, Tricentis Tosca, Dataflow, Hive, DevOpS, REST API, Hadoop, Kafka framework, GCP, AWS, will be an added advantage. You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Data Analyst Principal responsibilities Performing exploratory data analysis across one or multiple data domains / business subject areas to understand the data’s structure and relationships that would support business data requirements. Perform queries on data platforms to validate analysis / hypothesis and ensure good quality / trusted data are being identified for the business. Collaborate with upstream data domain / data platform owners to source trusted enterprise-level data, ensuring good quality data is provisioned downstream. Participate in agile ceremonies within the assigned pods, adopting agile ways of working and best practices. Ensure deliverables meet data governance standards, such as data accuracy, data lineage transparency, data consistency and security. Understand, follow and demonstrate compliance with all relevant internal and external rules, regulations and procedures that apply to the conduct of the business in which you are involved, specifically Internal Controls and any Compliance policy including, inter alia, the Group Compliance policy. Maintain HSBC Internal Control standards, including the timely implementation of internal and external audit points together with any issues raised by external regulators. Be aware of the Operational Risk scenario associated with your role and act in a manner that takes account of operational risk considerations. This job description is non-contractual and is intended only as a summary of your role and responsibilities from time to time. This document will be subject to review by you and your line manager as appropriate during the course of your employment. The jobholder will continually reassess the operational risks associated with the role and inherent in the business, taking account of changing legal and regulatory requirements, operating procedures and practices, management restructurings, and the impact of new technology This will be achieved by ensuring all actions take into account the likelihood of operational risk events, and by addressing any areas of concern in conjunction with line management and/or the appropriate department. The role will implement the Operational Risk control framework and per the BRCMs – “Three Lines of Defence” Requirements University degree in relevant disciplines. Strong analytical and problem-solving skills. Experience working within the Hadoop and GCP ecosystems in addition to strong technical skills in analytical languages such as Python, R, SQL, SAS. Good understanding of banking operations and processes, preferably in Risk, Compliance and Finance functions. Proven experience working in Agile environments (Kanban / Scrum) and familiarity with Agile tools like JIRA, Confluence, MS Teams & SharePoint. Excellent stakeholder engagement and management skills. Ability to navigate within the organization Proficient skills in MS Excel and PowerPoint. You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

Job Description Enthusiastic and self-motivated, with ability to execute Supply Chain Analytics projects proactively Meticulous attention to detail, with an overall passion for continuous improvement Innovative and creative, with a logical and methodical approach to problem solving Credible and articulate, with excellent communication, presentation, and interpersonal skills Responsibilities Execute high impact business projects with time bound and effective project management leveraging tools like Rally, Jira Gather business requirements and convert them into analytical problems and identify relevant tools, techniques, and an overall framework to provide solutions Use statistical methodologies leveraging analytical tools to support different business initiatives Continual enhancement of statistical techniques and their applications in solving business objectives Compile and analyze the results from modeling output and translate into actionable insights through dashboards Acquire and share deep knowledge of data utilized by the team and its business partners Participate in global conference calls and meetings as needed and manage multiple customer interfaces Execute analytics special studies and ad hoc analyses in a quick turn around time Evaluate new tools and technologies to improve analytical processes Efforts will focus on the following key areas: Domain – Supply Chain Analytics Hands on with Machine Learning Good understanding of various classical Statistical techniques such as Regression, Multivariate Analysis Data & Text Mining, NLP, Gen AI, Large Language Models, Time Series based forecasting modeling Experience with SQL and data warehousing (e.g. GCP/Hadoop/Teradata/Oracle/DB2) Experience using tools in BI, ETL, Reporting /Visualization/Dashboards - Qliksense/Power BI etc. Programming experience in languages like Python Exposure to Bigdata based analytical solutions Good Soft Skills - able to communicate clearly with stakeholders Good Analysis and problem-solving skills. Ability to get Insights from Data, provide visualization, and storytelling. Flexibility to explore and work with newer technologies and tools. Ability to learn quickly, adapt, and set direction when faced with ambiguous scenarios. Excellent collaborative communication and Team skills Qualifications Bachelors/Masters Candidates should have significant hands-on experience with analytics projects or related quantitative techniques across various functions Candidates will be expected to successfully prioritize and manage multiple analytical projects Good technical depth with strong analytical/programing skills and ability to apply technical knowledge Experience in Python, SQL, GCP or any other Cloud Platforms highly desired