16012 Kafka Jobs - Page 4

Overview TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Specialty Development Practitioner Location: Chennai Work Type: Hybrid Position Description At the client's Credit Company, we are modernizing our enterprise data warehouse in Google Cloud to enhance data, analytics, and AI/ML capabilities, improve customer experience, ensure regulatory compliance, and boost operational efficiencies. As a GCP Data Engineer, you will integrate data from various sources into novel data products. You will build upon existing analytical data, including merging historical data from legacy platforms with data ingested from new platforms. You will also analyze and manipulate large datasets, activating data assets to enable enterprise platforms and analytics within GCP. You will design and implement the transformation and modernization on GCP, creating scalable data pipelines that land data from source applications, integrate into subject areas, and build data marts and products for analytics solutions. You will also conduct deep-dive analysis of Current State Receivables and Originations data in our data warehouse, performing impact analysis related to the client's Credit North America's modernization and providing implementation solutions. Moreover, you will partner closely with our AI, data science, and product teams, developing creative solutions that build the future for the client's Credit. Experience with large-scale solutions and operationalizing data warehouses, data lakes, and analytics platforms on Google Cloud Platform or other cloud environments is a must. We are looking for candidates with a broad set of analytical and technology skills across these areas and who can demonstrate an ability to design the right solutions with the appropriate combination of GCP and 3rd party technologies for deployment on Google Cloud Platform. Skills Required Big Query,, Data Flow, DataForm, Data Fusion, Dataproc, Cloud Composer, AIRFLOW, Cloud SQL, Compute Engine, Google Cloud Platform - Biq Query Experience Required GCP Data Engineer Certified Successfully designed and implemented data warehouses and ETL processes for over five years, delivering high-quality data solutions. 5+ years of complex SQL development experience 2+ experience with programming languages such as Python, Java, or Apache Beam. Experienced cloud engineer with 3+ years of GCP expertise, specializing in managing cloud infrastructure and applications into production-scale solutions. Big Query,, Data Flow, DataForm, Data Fusion, Dataproc, Cloud Composer, AIRFLOW, Cloud SQL, Compute Engine, Google Cloud Platform Biq Query, Data Flow, Dataproc, Data Fusion, TERRAFORM, Tekton,Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, API, cloudbuild, App Engine, Apache Kafka, Pub/Sub, AI/ML, Kubernetes Experience Preferred In-depth understanding of GCP's underlying architecture and hands-on experience of crucial GCP services, especially those related to data processing (Batch/Real Time) leveraging Terraform, Big Query, Dataflow, Pub/Sub, Data form, astronomer, Data Fusion, DataProc, Pyspark, Cloud Composer/Air Flow, Cloud SQL, Compute Engine, Cloud Functions, Cloud Run, Cloud build and App Engine, alongside and storage including Cloud Storage DevOps tools such as Tekton, GitHub, Terraform, Docker. Expert in designing, optimizing, and troubleshooting complex data pipelines. Experience developing with microservice architecture from container orchestration framework. Experience in designing pipelines and architectures for data processing. Passion and self-motivation to develop/experiment/implement state-of-the-art data engineering methods/techniques. Self-directed, work independently with minimal supervision, and adapts to ambiguous environments. Evidence of a proactive problem-solving mindset and willingness to take the initiative. Strong prioritization, collaboration & coordination skills, and ability to simplify and communicate complex ideas with cross-functional teams and all levels of management. Proven ability to juggle multiple responsibilities and competing demands while maintaining a high level of productivity. Data engineering or development experience gained in a regulated financial environment. Experience in coaching and mentoring Data Engineers Project management tools like Atlassian JIRA Experience working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment. Experience with data security, governance, and compliance best practices in the cloud. Experience with AI solutions or platforms that support AI solutions Experience using data science concepts on production datasets to generate insights Experience Range 5+ years Education Required Bachelor's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity.

About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions. About BNP Paribas Group BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialized businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporate and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability Commitment to Diversity and Inclusion At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind, and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, color, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in. About Business Line/Function ITG is a group function established recently in ISPL since 2019 with presence in Mumbai, Chennai. We collaborate with various business lines of the group to provide IT Services. Job Title Developer Date 23/Jul/2025 Department ITG - IT Transversal & Functions::iCHROM Location: Chennai Business Line / Function iCHROM:Compliance IT Reports To (Direct) ISPL – ITG CPL IT - Manager Grade (if applicable) Number Of Direct Reports NA Directorship / Registration NA Position Purpose In the context of development of applications for the Compliance domain of BNPP, the developer will be part of a team of developers, align with the local team lead, take ownership, and deliver quality for all the user stories worked upon. We are looking for a highly skilled backend developer with strong experience in Java 8+, Spring Boot and Microservices. Responsibilities Direct Responsibilities Design and develop backend services using Java 8+, Spring boot & JUnit. Build and maintain robust RESTful APIs. Integrate with MongoDB and ensure performance and security. Ensure coding standards are followed Ensure collaboration, good rapport & teamwork with ISPL and Paris team members Contributing Responsibilities Take ownership and commit towards quality deliverables within estimated timelines, avoiding global schedule shift Participate in code reviews and documentation process. Contribute to continuous improvement in development practices processes and code quality. Participation in projects meetings: fine-tuning, daily, retrospective. Collaboration with the team members: the ability to collect, analyze, synthesize and present information in a clear, concise and precise way Technical & Behavioral Competencies Expert in Java 8+ and Spring Boot, ETL RESTful API and Microservices architecture. Hands-on experience with MongoDB, PostgreSql Apache Kafka for messaging Junit and Spring boot testing frameworks and code quality tools like Sonar API Gateways like APIGEE and authentication strategies Clean coding practices. Maven and swagger tools. Good to have Familiar with payment systems or related compliance driven systems Knowledge of Docker and Kubernetes and CI/CD pipelines using GitLab Experience in Integrated AI tool and knowledge on efficient prompting Knowledge of Web security principles (OWASP, Auth double factor, encryption, etc.) Knowledge of hexagonal architecture, event-oriented architecture and DDD Specific Qualifications (if Required) Experience in Linux, DevOps, IntelliJ, Gitlab (Pipeline CI/CD), Cloud Object Storage, Kafka Skills Referential Behavioural Skills: (Please select up to 4 skills) Ability to collaborate / Teamwork Attention to detail / rigor Communication skills - oral & written Ability to deliver / Results driven Transversal Skills: (Please select up to 5 skills) Analytical Ability Ability to develop and adapt a process Choose an item. Choose an item. Choose an item. Education Level Bachelor Degree or equivalent Experience Level At least 3 years

As a Senior Developer at UBS Global Wealth Management - US Technology organization within the Digital Investment Product team, you will be based in Pune, India, and primarily focus on digital investment products. Your strong expertise in core Java, Spring, Spring Boot, REST APIs, and microservices will be essential for this role. Additionally, your experience with messaging technologies like JMS, MQ, or Kafka, as well as cloud integration and container services, will be beneficial. Your responsibilities will include working with relational databases such as Oracle and SQL Server, as well as NoSQL databases like MongoDB or Cassandra. You will be expected to demonstrate proven skills in performance tuning and quality improvements. Knowledge of OOP-based UI frameworks like AngularJS, ReactJS, NodeJS, and Bootstrap, along with proficiency in HTML5, CSS3, JavaScript, and jQuery, will be advantageous. Prior experience in the financial or banking sector is highly desirable for this role. Familiarity with Azure WebApp and basic Linux understanding will also be beneficial. As part of the UBS Global Wealth Management - US Technology organization, you will collaborate with a diverse team to deliver high-quality digital investment products. UBS is the world's largest global wealth manager with a presence in over 50 countries. At UBS, we value diversity and are committed to empowering individuals from various backgrounds. Our inclusive culture fosters collaboration and encourages personal and professional growth. If you require reasonable accommodations during the recruitment process due to disability, please reach out to us. Join us at UBS, where our people are at the core of our success. We offer new challenges, a supportive team, growth opportunities, and flexible working options. Our collaborative approach ensures that together, we achieve more than we could individually. If you are passionate about driving innovation and making an impact in the financial industry, we welcome you to be a part of our team. For further details, please contact: UBS Business Solutions SA UBS Recruiting UBS is an Equal Opportunity Employer that values and celebrates diversity within our workforce.,

As a People Manager within the Adobe Cloud Platforms & Collaboration (ACPC) Group, you will be leading a highly skilled engineering team in building a scalable and available Content Platform for Adobe SaaS offerings on public clouds. Your role involves mentoring and guiding the team, driving technical design and implementation strategy, and shaping technical product architecture. You will partner with global product management and engineering leaders to ensure successful project delivery and influence product direction based on emerging industry technologies and trends. Your responsibilities will include attracting, hiring, on-boarding, and retaining top talent, developing and evolving engineering processes, and fostering a positive and collaborative team culture. With your strong technical skills and experience in software development, you will deliver high-performance web services, lead the team in creating execution plans, and apply best practices to ensure high code quality and maintainable solutions. To succeed in this role, you should have at least 9 years of software development experience with proven management abilities. Strong Java/JEE skills, expertise in technologies such as Kafka, Azure Cosmos DB, and Mongo DB, as well as experience with cloud technologies (AWS and/or Azure) are essential. You should demonstrate a track record of leading significant software projects, coaching and mentoring engineers, and recruiting top talent. Excellent interpersonal, analytical, and problem-solving skills, along with a passion for what you do, are key to succeeding in this role. As part of Adobe, you will have the opportunity to grow your career through creativity, curiosity, and continuous learning. The company's exceptional work environment and commitment to employee growth make Adobe an ideal place for impactful career experiences. If you are ambitious, enjoy addressing challenges, and value collaboration and innovation, Adobe is the place for you to thrive and make a difference.,

We are Allvue Systems, the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules, Allvue helps eliminate the boundaries between systems, information, and people. We’re looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals. Working at Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether you’re collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious. We want all of our team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team that’s revolutionizing the alternative investment industry. Define your own future with Allvue Systems! Design, implement, and maintain data pipelines that handle both batch and real-time data ingestion. Integrate various data sources (databases, APIs, third-party data) into Snowflake and other data systems. Work closely with data scientists and analysts to ensure data availability, quality, and performance. Troubleshoot and resolve issues related to data pipeline performance, scalability, and integrity. Optimize data processes for speed, scalability, and cost efficiency. Ensure data governance and security best practices are implemented Possesses a total experience of 5 to 8 years, including over 4+ years of expertise in data engineering or related roles. Strong experience with Snowflake, Kafka, and Debezium. Proficiency in SQL, Python, and ETL frameworks. Experience with data warehousing, data modeling, and pipeline optimization. Strong problem-solving skills and attention to detail. Experience in the financial services or fintech industry is highly desirable

You will be responsible for designing, developing, and maintaining scalable data pipelines using Azure Databricks. Your role will involve building and optimizing ETL/ELT processes for structured and unstructured data, collaborating with data scientists, analysts, and business stakeholders, integrating Databricks with Azure Data Lake, Synapse, Data Factory, and Blob Storage, developing real-time data streaming pipelines, and managing data models/data warehouses. Additionally, you will optimize performance, manage resources, ensure cost efficiency, implement best practices for data governance, security, and quality, troubleshoot and improve existing data workflows, contribute to architecture and technology strategy, mentor junior team members, and maintain documentation. To excel in this role, you should have a Bachelor's/Master's degree in Computer Science, IT, or a related field, along with 5+ years of Data Engineering experience (minimum 2+ years with Databricks). Strong expertise in Azure cloud services (Data Lake, Synapse, Data Factory), proficiency in Spark (PySpark/Scala) and big data processing, experience with Delta Lake, Structured Streaming, and real-time pipelines, strong SQL skills, an understanding of data modeling and warehousing, familiarity with DevOps tools like CI/CD, Git, Terraform, Azure DevOps, excellent problem-solving and communication skills are essential. Preferred qualifications include Databricks Certified (Associate/Professional), experience with machine learning workflows on Databricks, knowledge of data governance tools like Purview, experience with REST APIs, Kafka, Event Hubs, cloud performance tuning, and cost optimization experience. Join us to be a part of a supportive and collaborative team, work with a growing company in the exciting BI and Data industry, enjoy a competitive salary and performance-based bonuses, and have opportunities for professional growth and development. If you are interested in this opportunity, please send your resume to hr@exillar.com and fill out the form at https://forms.office.com/r/HdzMNTaagw.,

As a seasoned data engineering professional with 10+ years of experience, you will lead and mentor a team of data engineers to ensure high performance and career growth. Your primary responsibility will be to architect and optimize scalable data infrastructure, guaranteeing high availability and reliability. Additionally, you will drive the development and implementation of data governance frameworks and best practices, collaborating closely with cross-functional teams to define and execute a data roadmap. Your expertise in backend development using languages like Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS will be crucial. Proficiency in SQL, Python, and Scala for data processing and analytics is a must. In-depth knowledge of cloud platforms such as AWS, GCP, or Azure is required, along with hands-on experience in big data technologies like Spark, Hadoop, Kafka, and distributed computing frameworks. You will be responsible for ensuring data security, compliance, and quality across all data platforms while optimizing data processing workflows for performance and cost efficiency. A strong foundation in High-Level Design (HLD) and Low-Level Design (LLD), as well as design patterns, preferably using Spring Boot or Google Guice, is necessary. Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery will be beneficial. Your role will also involve working with NoSQL databases such as Redis, Cassandra, MongoDB, and TiDB, as well as familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK. Proven ability to drive technical strategy aligned with business objectives, strong leadership, communication, and stakeholder management skills are essential for this position. Candidates from Tier 1 colleges/universities with a background in product startups and experience in implementing Data Engineering systems from an early stage in the company are preferred. Additionally, experience in machine learning infrastructure or MLOps, exposure to real-time data processing and analytics, and interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture will be advantageous. Prior experience in a SaaS or high-growth tech company will be a plus. If you are a highly skilled data engineer with a passion for innovation and technical excellence, we invite you to apply for this challenging and rewarding opportunity.,

As a Java Tech Lead, you will be responsible for leading a team of Java developers in Pune (Hybrid) by providing guidance, mentorship, and technical expertise. You will play a crucial role in facilitating effective communication across teams and stakeholders to ensure alignment on project goals. Conducting code reviews, maintaining high-quality standards, and offering constructive feedback will be part of your daily tasks. Collaborating with Product Managers, Architects, and other stakeholders to define technical requirements is essential for the success of the projects. Your role will also involve designing and implementing scalable, maintainable, and high-performance Java applications. You will be responsible for defining and maintaining application architecture to ensure consistency and scalability. Leading architectural discussions and making decisions to meet business requirements and technical specifications will be a key aspect of your responsibilities. In terms of development and coding, you will be expected to write clean, efficient, and reusable Java code following best practices. Ensuring that solutions adhere to coding standards and industry best practices for performance, security, and scalability is critical. Developing RESTful APIs, integrating third-party services and applications, and utilizing Java frameworks and tools like Spring, Hibernate, and Maven are also integral parts of your role. Continuous improvement in development processes, tools, and methodologies will be a focus area for you. Staying updated with new technologies, frameworks, and tools in the Java ecosystem, and evaluating their potential benefits will be essential. Promoting DevOps practices and assisting in implementing automated testing and CI/CD pipelines will also be part of your responsibilities. As a Java Tech Lead, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent work experience. With over 8 years of experience in software development, you should have a strong focus on Java and related technologies. Proven experience as a Tech Lead, Senior Developer, or Software Engineer in Java-based application development is required. Expertise in Java frameworks like Spring, Hibernate, and Spring Boot, as well as experience with microservices architecture and cloud platforms, is essential. Your strong knowledge of technologies such as Kafka, RabbitMQ, Postgres, RESTful APIs, databases (SQL/NoSQL), caching technologies (Redis, Memcached), and familiarity with tools like Maven, Git, Docker, and Kubernetes will be beneficial for this role. Experience with Agile development methodologies (Scrum/Kanban), strong analytical and problem-solving skills, and excellent communication and leadership abilities are also required. Your passion for delivering high-quality software solutions and the ability to mentor and collaborate with cross-functional teams will be key to your success in this position.,

Job Title: Java Developer (Remote) Location: Remote Job Type: Full-Time / Contract Client: C onfidential Job Description We are seeking a skilled and motivated Java Developer to join our remote development team. You will be responsible for designing, developing, and maintaining Java-based applications that are high-volume, low-latency, and mission-critical. The ideal candidate has a strong background in core Java development and is comfortable working in an Agile environment with a focus on microservices, RESTful APIs, and cloud-native applications. Responsibilities Design, develop, and deploy scalable and maintainable Java applications. Collaborate with cross-functional teams to define, design, and ship new features. Develop RESTful APIs and integrate with third-party systems and services. Write well-designed, testable, and efficient code using best practices. Participate in code reviews, unit testing, and continuous integration. Troubleshoot and debug applications in development and production environments. Optimize applications for speed, scalability, and reliability. Maintain up-to-date knowledge of Java trends, frameworks, and tools. Required Qualifications 3+ years of professional experience in Java development. Strong knowledge of Java 8 or higher and the Spring ecosystem (Spring Boot, Spring Data, etc.). Experience with RESTful APIs, Microservices architecture, and modern web services. Familiarity with relational databases (MySQL, PostgreSQL) and ORM frameworks (Hibernate, JPA). Experience with version control systems such as Git. Knowledge of CI/CD pipelines and DevOps tools (Jenkins, Docker, Kubernetes). Strong problem-solving skills and the ability to work independently in a remote setting. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with front-end technologies like JavaScript, React, or Angular is a plus. Exposure to message brokers (Kafka, RabbitMQ). Familiarity with Agile/Scrum methodologies.

You are an experienced and proactive Java Spring Boot Lead who will join a dynamic technology team. Your role involves leading the development of enterprise-scale microservices and APIs using modern Java technologies. You will also be responsible for mentoring a team of developers and ensuring delivery excellence. As a Java Spring Boot Lead, you will lead a team of backend developers in designing and delivering scalable, high-performance microservices using Java and Spring Boot. Collaboration with enterprise architects, business analysts, and product owners to define technical solutions aligned with business goals is an essential aspect of your role. Additionally, you will oversee code quality, enforce best practices, and conduct peer reviews. Guiding the team in adopting modern DevOps, CI/CD, and cloud-native practices, breaking down technical requirements, and effectively assigning work across the team are key responsibilities. You will also troubleshoot and resolve complex technical issues across services and environments while ensuring compliance with security and architectural standards as per guidelines. Reporting progress, blockers, and risks to stakeholders and project management regularly is part of your role. To be successful in this position, you should have 10+ years of experience in Java development and at least 3 years of experience in leading development teams. Strong expertise in Spring Boot, Spring MVC, Spring Data JPA, and Spring Security is required. A deep understanding of Microservices Architecture and RESTful API design is essential. Experience with Docker, Kubernetes, and cloud platforms (AWS preferred) is also necessary. Proficiency in CI/CD pipelines using tools like Jenkins, Git, Maven/Gradle, and familiarity with relational and NoSQL databases (PostgreSQL, MongoDB, etc.) are important skills. Working knowledge of messaging systems such as Kafka or RabbitMQ, Agile/Scrum methodology familiarity, and excellent problem-solving and communication skills are expected. Nice to have skills include prior experience in the banking or financial services domain, exposure to frontend frameworks like Angular or React (optional), and experience with logging/monitoring tools like Splunk, ELK stack, or Prometheus.,

You will be a part of an Indian / Global Digital Organization where you will play a crucial role in designing and implementing backend services that handle high-throughput and low-latency workloads. Your responsibilities will include architecting secure and observable APIs and data services to ensure 99.99% availability. You will lead the integration with external platforms such as Google, Meta, and TikTok to maintain consistent data synchronization. Additionally, you will drive platform observability and operational excellence through metrics, tracing, and alerting frameworks. As a senior member of the team, you will mentor junior engineers and actively participate in system-level design and code reviews. Collaborating cross-functionally, you will contribute to the delivery of features involving machine learning, analytics, and optimization engines. Leveraging your expertise in backend development within distributed, scalable systems, you will work with technologies including Kafka, PostgreSQL, ClickHouse, Redis, S3, and object storage-based designs. Your role will also involve applying SOLID principles, clean code practices, and maintaining awareness of infrastructure costs and FinOps. Setting up unit/integration tests, CI/CD pipelines, and rollback strategies will be essential for ensuring the reliability and efficiency of the systems you work on. Key Skills required for this position include a strong background in Java and Microservices architecture, knowledge of distributed systems and high-performance backend services, familiarity with technologies like Kafka, PostgreSQL, ClickHouse, Redis, and S3, as well as a solid understanding of API development, CI/CD pipelines, and observability tools. Your practice of clean code, SOLID principles, and cost-aware infrastructure planning will be valuable assets in this role. To be eligible for this position, you should hold a degree in B.Tech, M.Tech (Dual), M.Tech, MCA, M.Sc., M.E., or CA in Computer Engineering, Computer Science Engineering, or Computer Technology.,

As a candidate for the position based in Pune, your primary responsibilities will revolve around designing, developing, and enhancing software solutions using various engineering methodologies to cater to the business, platform, and technology needs of our customers and colleagues. Your key accountabilities will include: - Developing and delivering high-quality software solutions that are scalable, maintainable, and performance-optimized by utilizing industry-aligned programming languages, frameworks, and tools. - Collaborating cross-functionally with product managers, designers, and engineers to define software requirements, devise solution strategies, and ensure seamless integration with business objectives. - Participating in code reviews, promoting a culture of code quality, and sharing knowledge with peers. - Keeping abreast of industry technology trends, contributing to technology communities, and fostering a culture of technical excellence and growth within the organization. - Adhering to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure the delivery of secure software solutions. - Implementing effective unit testing practices to ensure proper code design, readability, and reliability. Additionally, as an Assistant Vice President, your role will involve: - Advising and influencing decision-making, contributing to policy development, and ensuring operational effectiveness while collaborating closely with other functions and business divisions. - Leading a team in performing complex tasks, setting objectives, coaching employees, and appraising performance relative to objectives. - Demonstrating a clear set of leadership behaviors to create an environment for colleagues to excel, focusing on listening, energizing, aligning across the enterprise, and developing others. - Leading collaborative assignments, guiding team members, identifying new directions for projects, and adopting cross-functional methodologies to meet desired outcomes. - Consulting on complex issues, providing advice to support the resolution of escalated matters, and identifying ways to mitigate risk while developing new policies and procedures. - Taking ownership of managing risk, strengthening controls, and engaging in complex data analysis to creatively solve problems and communicate complex information effectively. - Collaborating with various work areas, supporting business-aligned activities, and keeping abreast of business strategy. All colleagues are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset to Empower, Challenge, and Drive in their behavior.,

You should have a Bachelor's degree in Computer Science or an IT-related field. With 5-9 years of experience in a product development/engineering role across different product domains. Your role will require good communication skills to manage business requests and collaborate with teams across various geographies and time-zones, including experience with remote and distributed teams. Your hands-on experience should include proficiency in Java (Spring, Spring Boot, etc.), Relational Databases (PostgreSQL, MySQL, SQL, PLSQL, etc.), NoSQL Databases (Redis, Elastic Search, Mongo etc.), Messaging (RabbitMQ, Kafka etc.), and Agile Methodologies (Scrum, TDD, BDD, etc.). Desirable experience includes working with tools/technologies such as GIT/Bit Bucket, Jira, Maven/Gradle, Jenkins, SharePoint, Spring Dev Tools, Visual Studio Code, Microservices Architecture, Domain Driver Design, Test Driven Development, Java technologies related to Spring and Spring Boot, Design Patterns, Development of Complex Application and System Architectures, Data Structures and Algorithms using Java or other Programming Languages, Cloud Platforms (preferably GCP), Relational and NoSQL Databases, Protocols like Http, Smtp, SFTP, and Messaging Platforms like RabbitMQ, ActiveMQ, Kafka, etc.,

Job Description About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world. What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. Job Description Summary Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Job Description Key Responsibilities AI/ML Development & Research Design, develop, and deploy advanced machine learning and deep learning models for complex business problems Implement and optimize Large Language Models (LLMs) and Generative AI solutions Build agentic AI systems with autonomous decision-making capabilities Conduct research on emerging AI technologies and their practical applications Perform model evaluation, validation, and continuous improvement Cloud Infrastructure & Full-Stack Development Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP Develop full-stack applications integrating AI models with modern web technologies Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) Implement CI/CD pipelines for ML model deployment and monitoring Design and optimize cloud infrastructure for high-performance computing workloads Data Engineering & Database Management Design and implement data pipelines for large-scale data processing Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) Optimize database performance for ML workloads and real-time applications Implement data governance and quality assurance frameworks Handle streaming data processing and real-time analytics Leadership & Collaboration Mentor junior data scientists and guide technical decision-making Collaborate with cross-functional teams including product, engineering, and business stakeholders Present findings and recommendations to technical and non-technical audiences Lead proof-of-concept projects and innovation initiatives Required Qualifications Education & Experience Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field 5+ years of hands-on experience in data science and machine learning 3+ years of experience with deep learning frameworks and neural networks 2+ years of experience with cloud platforms and full-stack development Technical Skills - Core AI/ML Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents Technical Skills - Development & Infrastructure Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB) Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks Big Data: Spark, Hadoop, Kafka, streaming data processing Preferred Qualifications Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma) Knowledge of LangChain, LlamaIndex, or similar LLM frameworks Experience with model compression and edge deployment Familiarity with distributed computing and parallel processing Experience with computer vision and NLP applications Knowledge of federated learning and privacy-preserving ML Experience with quantum machine learning Expertise in MLOps and production ML system design Key Competencies Technical Excellence Strong mathematical foundation in statistics, linear algebra, and optimization Ability to implement algorithms from research papers Experience with model interpretability and explainable AI Knowledge of ethical AI and bias detection/mitigation Problem-Solving & Innovation Strong analytical and critical thinking skills Ability to translate business requirements into technical solutions Creative approach to solving complex, ambiguous problems Experience with rapid prototyping and experimentation Communication & Leadership Excellent written and verbal communication skills Ability to explain complex technical concepts to diverse audiences Strong project management and organizational skills Experience mentoring and leading technical teams How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/ . TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community. Req Id: R_2507_10290_0 Posted At: Thu Jul 31 2025 00:00:00 GMT+0000 (Coordinated Universal Time)

About Marriott: Marriott Tech Accelerator is part of Marriott International, a global leader in hospitality. Marriott International, Inc. is a leading American multinational company that operates a vast array of lodging brands, including hotels and residential properties. It consists of over 30 well-known brands and nearly 8,900 properties situated in 141 countries and territories. Role Title: Security Data Scientist Position Summary: Marriott International's Global Information Security is seeking an experienced Security Data Scientist who can combine expertise in cybersecurity with data science skills to analyze and protect Marriott's digital assets. Job Responsibilities: Perform data cleaning, analysis, and modeling tasks. Work under guidance of senior team members to: Analyze large datasets related to cybersecurity threats and incidents. Implement existing machine learning models and algorithms to detect anomalies and potential security breaches. Support SDL tools (e.g., big data, ML/AI technologies). Create data visualizations and reports to communicate insights to stakeholders. Collaborate with cybersecurity teams to implement data-driven security solutions. Stay up to date with the latest cyber threats and data science techniques. Help to maintain and document SDL MLOps processes and procedures. Skill and Experience: 2-4 years of data science, data analytics, data management, and/or information security experience that includes: 2+ years of experience in data science/data analytics in an enterprise environment. 1+ years of experience in information protection/information security. Strong background in statistics, mathematics, and software engineering (e.g., Proficiency in Python, R). Experience with machine learning algorithms and frameworks as well as AI techniques. Knowledge of cybersecurity principles, tools, and best practices. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies. Understanding of data visualization tools like Power BI. Preferred: Programming languages: Python, R, SQL. Machine learning frameworks: TensorFlow, PyTorch, scikit-learn. Big data technologies: Hadoop, Spark, and Kafka. Cloud platforms: AWS, Azure, GCP. Data visualization tools: Tableau, Power BI. Relevant certifications such as data science certifications, CISSP, CEH. Verbal and written communication skills. Education and Certifications: Bachelor's degree in computer/data science, information management, Cybersecurity, or related field or equivalent experience/certification. Work location: Hyderabad, India. Work mode: Hybrid.,

You are a highly experienced Python Architect sought for a 3+ month contract position with the potential for extension based on project demands and individual performance. Your role will entail leading the design and development of robust, scalable Python applications and microservices. You will be responsible for defining and enforcing architectural best practices, coding standards, and system design guidelines. Collaborating with cross-functional teams to translate business requirements into technical solutions will be a crucial part of your responsibilities. Additionally, you will build cloud-native applications on platforms like AWS, Azure, or GCP. Your duties will also include conducting architecture reviews, code reviews, and performance optimization. As a mentor, you will guide team members and ensure high code quality through automation and best practices. Supporting CI/CD pipelines and DevOps integration for smooth deployments will be essential, along with preparing technical documentation for architecture, processes, and solutions. To excel in this role, you should possess a minimum of 11 years of professional experience in software development, including at least 3 years in an architect or lead role. Proficiency in Python with experience in frameworks such as Django, Flask, or FastAPI is required. A strong grasp of microservices architecture, RESTful APIs, and system integration is essential. Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) is also necessary. Experience in designing scalable and secure systems, coupled with strong database knowledge in SQL and NoSQL (PostgreSQL, MongoDB, etc.), is expected. Familiarity with messaging systems (Kafka, RabbitMQ) and caching (Redis) is a plus. Strong communication, problem-solving, and decision-making skills are key attributes for this role.,

The role of warehousing and logistics systems is becoming increasingly crucial in enhancing the competitiveness of various companies and contributing to the overall efficiency of the global economy. Modern intra-logistics solutions integrate cutting-edge mechatronics, sophisticated software, advanced robotics, computational perception, and AI algorithms to ensure high throughput and streamlined processing for critical commercial logistics functions. Our Warehouse Execution Software is designed to optimize intralogistics and warehouse automation by utilizing advanced optimization techniques. By synchronizing discrete logistics processes, we have created a real-time decision engine that maximizes labor and equipment efficiency. Our software empowers customers with operational agility essential for meeting the demands of an Omni-channel environment. We are seeking a dynamic individual who can develop state-of-the-art MLOps and DevOps frameworks for AI model deployment. The ideal candidate should possess expertise in cloud technologies, deployment architectures, and software production standards. Moreover, effective collaboration within interdisciplinary teams is key to successfully guiding products through the development cycle. **Core Job Responsibilities:** - Develop comprehensive pipelines covering the ML lifecycle from data ingestion to model evaluation. - Collaborate with AI scientists to expedite the operationalization of ML algorithms. - Establish CI/CD/CT pipelines for ML algorithms. - Implement model deployment both in cloud and on-premises edge environments. - Lead a team of DevOps/MLOps engineers. - Stay updated on new tools, technologies, and industry best practices. **Key Qualifications:** - Master's degree in Computer Science, Software Engineering, or a related field. - Proficiency in Cloud Platforms, particularly GCP, and relevant skills like Docker, Kubernetes, and edge computing. - Familiarity with task orchestration tools such as MLflow, Kubeflow, Airflow, Vertex AI, and Azure ML. - Strong programming skills, preferably in Python. - Robust DevOps expertise including Linux/Unix, testing, automation, Git, and build tools. - Knowledge of data engineering tools like Beam, Spark, Pandas, SQL, and GCP Dataflow is advantageous. - Minimum 5 years of experience in relevant fields, including academic exposure. - At least 3 years of experience in managing a DevOps/MLOps team.,

As a Data Architect, you will be responsible for leading, analyzing, designing, and delivering analytics solutions and applications, including statistical data models, reports, and dashboards in cloud environments such as AWS, Azure, and GCP, as well as corresponding cloud-based EDW database platforms like Snowflake, Redshift, and BigQuery. You must have a minimum of 8 years of experience, with at least 3 years in the role of a data architect for Data Warehouse and Analytics solutions. Your role will involve leveraging your 3+ years of experience with cloud platforms (AWS, Azure, GCP) and a strong understanding of the ingestion and consumption processes in Data Lakes. You should also have 3+ years of experience in cloud-based EDW platforms such as Snowflake, Redshift, BigQuery, or Synapse, and be adept at building and launching new data models that provide intuitive analytics for analysts and customers. In this position, you will be expected to work with and analyze large datasets within the relevant domains of enterprise data, as well as demonstrate strong experience in Data Warehouse ETL design and development, methodologies, tools, processes, and best practices. Proficiency in writing complex SQL, PL/SQL, UNIX scripts, and understanding of performance tuning and troubleshooting aspects are also crucial aspects of this role. Furthermore, you should possess good communication and presentation skills, with a proven track record of using insights to influence executives and colleagues. Additionally, having awareness or expertise in data security, data access controls, DevOps tools, and development frameworks like SCRUM/Agile will be beneficial. Your responsibilities will also include recommending solutions to improve cloud and existing Datawarehouse solutions, as well as showcasing the new capabilities of advanced analytics to business and technology teams to demonstrate the potential of the Data platform. Overall, your leadership abilities will be essential in driving cross-functional development on new solutions from design through delivery. (ref: hirist.tech),

As a Java Developer with 1-3 years of experience, you will be responsible for contributing to software development projects in Bangalore with an immediate-15 days notice period. You should hold a Bachelor's Degree in Computer Science or a related field, or possess equivalent experience. Your professional background should reflect a solid understanding of computer science fundamentals such as data structure, algorithms, distributed system design, databases, and design patterns. Additionally, you should have experience working with Microservice architecture and demonstrate strong coding skills using modern languages and stacks like Java, Springboot, and Kafka. Your proficiency in working in an Agile/Scrum environment and DevOps automation will be essential for this role. Moreover, you should be familiar with REST, JavaScript, and API design patterns. Preferred qualifications for this position include experience with performance-based coding styles, a degree in computer science engineering or relevant streams, and strong communication skills. You will be expected to effectively communicate with colleagues, both within and outside your team, and articulate technical challenges and solutions. Furthermore, your ability to handle ambiguous and undefined problems, along with abstract thinking skills, will be highly valued in this role.,

Title: Data Engineer Location: 100% remote Contract Immediate Joiner: Within 1 to 2 weeks Pyspark – Must needed. Python (be able to code from day 1) and Scala (Just read the code is enough) DataBricks (Strong) Kafka – Worked on real time streaming professional set-up Deltalake Preferred Unity Catalog (Table structure) or IceBerg .

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description Aruba is an HPE Company, and a leading provider of next-generation network access solutions for the mobile enterprise. Helping some of the largest companies in the world modernize their networks to meet the demands of a digital future, Aruba is redefining the “Intelligent Edge” – and creating new customer experiences across intelligent spaces and digital workspaces. Join us redefine what’s next for you. How You Will Make Your Mark… The ideal candidate will have experience working with AI technologies including LLMs/GenAI, and application development with to build and deploy AI Chat bot to support business management. Experience with MS Power Platform, Java and Databricks are preferred. Responsibilities What you’ll do: As a Sr. AI Developer, the primary responsibility will be on full-stack development of AI Chat bot application for business management, integrating business-relevant data with LLMs, and helping the team deliver incremental features for on-demand AI-assisted analytics services on a hybrid tech stack. Translate business requirements into scalable and performant technical solutions. Design, code, test, and assure the quality of complex AI-powered product features. Partner with a highly motivated and talented set of colleagues. Be a motivated, self-starter who can operate with minimal handholding. Collaborate across teams and time zones, demonstrating flexibility and accountability. Education And Experience Required 8-10+ years of Data Engineering & AI Development experience, with significant exposure to building AI Chat bots on a hybrid tech stack across SQL Server, Hadoop, Azure Data Factory and Databricks. Advanced university degree (e.g., Masters) or demonstrable equivalent. What You Need To Bring Knowledge and Skills: Demonstrated ability to build or integrate AI-driven features into enterprise applications. Strong knowledge of Computer Science fundamentals. Experience with SQL databases and building SSIS packages; knowledge of NoSQL and event streaming (e.g., Kafka) is a bonus. Experience working with LLMs and generative AI frameworks (e.g., OpenAI, Hugging Face, etc.). Proficiency in MS Power Platform, Java, Scala, Python experience preferred. Experience with SAP software (e.g., SAP S/4HANA, SAP BW) is an asset. Proven track record of writing production-grade code for enterprise-scale systems. Knowledge of Agentic AI and frameworks Strong collaboration and communication skills. Experience using tools like JIRA for tracking tasks and bugs, with Agile CI/CD workflows. Strong domain experience across Sales, Finance or Operations with deep understanding of key KPIs & Metrics. Collaborates with senior managers/directors of the business on AI Chat bot, BI, Data Science and Analytics roadmap. Owns business requirements, prioritization & execution to deliver actionable insights to enable decision making, support strategic initiatives and accelerate profitable growth. Functions as the subject matter expert for data, analytics, and reporting systems within the organization to yield accurate and proper interpretation of core business KPIs/metrics. Performing deep-dive investigations, including applying advanced techniques, to solve some of the most critical and complex business problems in support of business transformation to enable Product, Support, and Software as a Service offerings. Additional Skills Accountability, Accountability, Active Learning (Inactive), Active Listening, Bias, Business Decisions, Business Development, Business Metrics, Business Performance, Business Strategies, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Cross-Functional Teamwork, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity (Inactive), Leadership, Long Term Planning, Managing Ambiguity, Personal Initiative {+ 5 more} What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #aruba Job Business Planning Job Level Expert HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

The Applications Development Senior Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis and programming activities. Responsibilities: Manage one or more Applications Development teams in an effort to accomplish established goals as well as conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions) Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications Review and analyze proposed technical solutions for projects Contribute to formulation of strategies for applications development and other functional areas Develop comprehensive knowledge of how areas of business integrate to accomplish business goals Provide evaluative judgment based on analysis of factual data in complicated and unique situations Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/project Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards. Leaderships: Excellent organization skills, attention to detail, and ability to multi-task Demonstrated sense of responsibility and capability to deliver quickly Excellent communication skills. Clearly articulating and documenting technical and functional specifications is a key requirement. Proactive problem-solver Relationship builder and team player Negotiation, difficult conversation management and prioritization skills Flexibility to handle multiple complex projects and changing priorities Excellent verbal, written and interpersonal communication skills Good analytical and business skills Promotes teamwork and builds strong relationships within and across global teams Promotes continuous process improvement especially in code quality, testability & reliability Technical Proficiency: The Senior Technology Lead must be experienced hands-on engineer who is passionate about solving business, customer, and technology problems through innovation and perseverance. Responsible for writing the most mission critical code, design and design reviews, code reviews, and process automation. Ensure on time, on budget, high quality deliveries by self and team. Understand and influence software design & architecture for simplicity, resiliency, and performance. Strong Experience in systems design and development of software applications Experience in Banking Payments Solution development and implementation in large banks. Strong exposure to Java, Spring Framework, Spring Boot, Kafka, MQ, Micro-Service , Oracle, Mongo, Openshift, REST, Maven, Git, JUnit, TDD, Agile, Strong knowledge on CI CD pipeline and exposure to system design with resiliency backed by observability . Having Python skills and GEN AI tools knowledge is plus Strong experience in working with various Payments schemes, and Payments messaging formats such as ISO 8583, ISO 20022, and SWIFT MX messages Strong technical and functional experience in working in Banking domain under the payment space like Domestic (RTGS, GIRO, ACH etc.), International funds transfer, SWIFT/ISO20022 messaging, Currency Foreign Exchange, AML Monitoring, Sanction Screening etc Experience and/or exposure to Digital Asset / Block chain domain is plus Experience in managing and implementing successful projects Leading a team of engineers and take the E2E responsibility of owning the delivery, by properly managing the Jira board at all the times Proven experience of handling the Production Releases and the postproduction support Be hands on the technologies and contribute to the Architecture, Design, Implementation and Pull Request reviews with a good quality ensuring the adequate coverage of Unit Test, Code Coverage, lesser or no code smells fostering a good refactoring, scalability, and maintainability. Stakeholder management and ability to liaise well with the Engineering, QA and Product/Business throughout the SDLC lifecycle. Groom the team on technical, functional and behavioral aspects where needed Be proactive, assertive and a strategic thinker Qualifications: 14+ years of relevant experience in Java & Microservices with commensurate people management experience. Hands-on working experience in Java / Spring / Spring Cloud / Spring Data JPA / Spring Boot Microservices. Strong experience of Microservices, API Development and its Eco-systems. Strong experience on Observability and Monitoring tech stack as well Messaging like Kafka and MQ components Hands-on working experience with Junit, Git, Jenkins, Maven. Should have troubleshooting skills using debuggers, logs, etc. Experience with Openshift, AWS will be added advantage. Implement Unit Testing and TDD to ensure software quality and maintainability. Experience with Docker and Kubernetes. Work proactively & independently to address project requirements, and articulate issues/challenges with enough lead time to address project delivery risks. Code reviews, test case reviews, and ensure code developed meets the requirements. Proficiency in SQL Databases, MongoDB, Oracle, Data Analysis. Experience as Applications Development Manager Experience as senior level in an applications Development role Stakeholder and people management experience Demonstrated leadership skills Proven project management skills Basic knowledge of industry practices and standards Consistently demonstrates clear and concise written and verbal communication Role Responsibilities: Lead Payment modernization for the bank to develop and migrate payment applications on the modernized enterprise application platform. Design, implement, and deploy software components and solve difficult problems generating positive feedback. Effectively coach, help and give feedback to junior team members. Able to work independently and with team(s) to deliver software product successfully. Lead deliveries that are consistently of high quality (secure, testable, maintainable, low-defects, efficient, etc.) and incorporate best practices. Review design and code. Focus on operational excellence, constructively identifying problems, identifying and building solutions, taking on projects that improve software, making it better and easier to maintain. Make improvements to development and testing processes. Education: Bachelor’s degree/University degree or equivalent experience Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

This is a data engineer position - a programmer responsible for the design, development implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable, and secure manner in coordination with the Data & Analytics team. The overall objective is defining optimal solutions to data collection, processing, and warehousing. Must be a Spark Java development expertise in big data processing, Python and Apache spark particularly within banking & finance domain. He/She designs, codes and tests data systems and works on implementing those into the internal infrastructure. Responsibilities: Ensuring high quality software development, with complete documentation and traceability Develop and optimize scalable Spark Java-based data pipelines for processing and analyzing large scale financial data Design and implement distributed computing solutions for risk modeling, pricing and regulatory compliance Ensure efficient data storage and retrieval using Big Data Implement best practices for spark performance tuning including partition, caching and memory management Maintain high code quality through testing, CI/CD pipelines and version control (Git, Jenkins) Work on batch processing frameworks for Market risk analytics Promoting unit/functional testing and code inspection processes Work with business stakeholders and Business Analysts to understand the requirements Work with other data scientists to understand and interpret complex datasets Qualifications: 5- 8 Years of experience in working in data eco systems. 4-5 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks. 3+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning) Experienced in working with large and multiple datasets and data warehouses Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets. Strong analytic skills and experience working with unstructured datasets Ability to effectively use complex analytical, interpretive, and problem-solving techniques Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira Experience with external cloud platform such as OpenShift, AWS & GCP Experience with container technologies (Docker, Pivotal Cloud Foundry) and supporting frameworks (Kubernetes, OpenShift, Mesos) Experienced in integrating search solution with middleware & distributed messaging - Kafka Highly effective interpersonal and communication skills with tech/non-tech stakeholders. Experienced in software development life cycle and good problem-solving skills. Excellent problem-solving skills and strong mathematical and analytical mindset Ability to work in a fast-paced financial environment Education: Bachelor’s/University degree or equivalent experience in computer science, engineering, or similar domain ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Data Architecture ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description Aruba is an HPE Company, and a leading provider of next-generation network access solutions for the mobile enterprise. Helping some of the largest companies in the world modernize their networks to meet the demands of a digital future, Aruba is redefining the “Intelligent Edge” – and creating new customer experiences across intelligent spaces and digital workspaces. Join us redefine what’s next for you. How You Will Make Your Mark… The ideal candidate will have experience with deploying and managing enterprise-scale Data Governance practices along with Data Engineering experience developing the database layer to support and enable AI initiatives as well as streamlined user experience with Data Discovery, Security & Access Control, for meaningful & business-relevant analytics. The candidate will be comfortable with the full stack analytics ecosystem, with Database layer, BI dashboards, and AI/Data Science models & solutions, to effectively define and implement a scalable Data Governance practice. What You’ll Do Responsibilities: Drive the design and development of Data Dictionary, Lineage, Data Quality, Security & Access Control for Business-relevant data subjects & reports across business domains. Engage with the business users community to enable ease of Data Discovery and build trust in the data through Data Quality & Reliability monitoring with key metrics & SLAs defined. Supports the development and sustaining of Data subjects in the Database layer to enable BI dashboards and AI solutions. Drives the engagement and alignment with the HPE IT/CDO team on Governance initiatives, including partnering with functional teams across the business. Test, validate and assure the quality of complex AI-powered product features. Partner with a highly motivated and talented set of colleagues. Be a motivated, self-starter who can operate with minimal handholding. Collaborate across teams and time zones, demonstrating flexibility and accountability Education And Experience Required 7+ years of Data Governance and Data Engineering experience, with significant exposure to enabling Data availability, data discovery, quality & reliability, with appropriate security & access controls in enterprise-scale ecosystem. First level university degree. What You Need To Bring Knowledge and Skills: Experience working with Data governance & metadata management tools (Collibra, Databricks Unity Catalog, Atlan, etc.). Subject matter expertise of consent management concepts and tools. Demonstrated knowledge of research methodology and the ability to manage complex data requests. Excellent analytical thinking, technical analysis, and data manipulation skills. Proven track record of development of SQL SSIS packages with ETL flow. Experience with AI application deployment governance a plus. Technologies such as MS SQL Server, Databricks, Hadoop, SAP S4/HANA. Experience with SQL databases and building SSIS packages; knowledge of NoSQL and event streaming (e.g., Kafka) is a bonus. Exceptional interpersonal skills and written communication skills. Experience and comfort solving problems in an ambiguous environment where there is constant change. Ability to think logically, communicate clearly, and be well organized. Strong knowledge of Computer Science fundamentals. Experience working with LLMs and generative AI frameworks (e.g., OpenAI, Hugging Face, etc.). Proficiency in MS Power Platform, Java, Scala, Python experience preferred. Strong collaboration and communication skills. Performing deep-dive investigations, including applying advanced techniques, to solve some of the most critical and complex business problems in support of business transformation to enable Product, Support, and Software as a Service offerings. Strong business acumen and technical knowledge within area of responsibility. Strong project management skills Additional Skills Accountability, Accountability, Active Learning (Inactive), Active Listening, Bias, Business Decisions, Business Development, Business Metrics, Business Performance, Business Strategies, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Cross-Functional Teamwork, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity (Inactive), Leadership, Long Term Planning, Managing Ambiguity, Personal Initiative {+ 5 more} What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #aruba Job Business Planning Job Level Specialist HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Individual Contributor - Write good quality code in Java, Sprint Boot (related stack) Well versed with JUnit, Mockito, Integration Tests and Performance Tests Individual Contributor – Write good quality code in Java Angular JS 16 Well versed with UI/UX Designs, Unit test using Jest Ability to design, develop components with minimal assistance Ability to effectively interact, collaborate with development team Ability to effectively communicate development progress to the Project Lead Work with developers onshore, offshore and matrix teams to implement a business solution Write user/supported documentation Evaluate and adopt new dev tools, libraries, and approaches to improve delivery quality Perform peer code review of project codebase changes Acts as SME to senior stakeholders and /or other team members Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems Apply fundamental knowledge of programming languages for design specifications. Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging Serve as advisor or coach to new or lower level analysts Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Skills Required: 2 - 8 Years Of Experience Good Knowledge of Spring including Spring Framework, Spring Boot, Spring Security, Spring Web, Spring Data Good Knowledge of: Threading, Collections, Exception Handling, JDBC, Java OOD/OOP Concepts, GoF Design Patterns, MoM and SOA Design Patterns, File I/O, and parsing XML and JSON, delimited files and fixed length files, String matching, parsing, building, working with binary data / byte arrays. Good Knowledge of UI/UX Design and Angular JS and Jest for unit testing Good knowledge of SQL (DB2/Oracle dialect is preferable) Experience working with SOA & Micro-services utilizing REST. Experience with design and implementations of cloud-ready applications and deployment pipelines on large-scale container platform clusters is a plus Experience working in a Continuous Integration and Continuous Delivery environment and familiar with Tekton, Harness, Jenkins, Code Quality, etc. Knowledge in industry standard best practices such as Design Patterns, Coding Standards, Coding modularity, Prototypes etc. Experience in debugging, tuning and optimizing components Understanding of the SDLC lifecycle for Agile methodologies Excellent written and oral communication skills Experience developing application in Financial Services industry is preferred Nice to have experience : Kubernetes and Docker Messaging Systems: IBM MQ, Kafka, RabbitMQ, ActiveMQ, Tibco. etc. Tomcat, Jetty, Apache HTTPD Able to work with build/configure/deploy automation tools, Jenkin, Light Speed. etc Linux Ecosystem Autosys APIm APM Tools: Dynatrace, AppDynamics, etc. Caching Technologies: Redis, Hazelcast, MemCached. etc Qualifications: 2 - 8 years of relevant experience in the Financial Service industry Intermediate level experience in Applications Development role Consistently demonstrates clear and concise written and verbal communication Demonstrated problem-solving and decision-making skills Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: Bachelor’s degree/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.