19594 Nosql Jobs - Page 20

Description When you attract people who have the DNA of pioneers and the DNA of explorers, you build a company of like-minded people who want to invent. And that’s what they think about when they get up in the morning: how are we going to work backwards from customers and build a great service or a great product” – Jeff Bezos Amazon.com’s success is built on a foundation of customer obsession. Have you ever thought about what it takes to successfully deliver millions of packages to Amazon customers seamlessly every day like a clock work? In order to make that happen, behind those millions of packages, billions of decision gets made by machines and humans. What is the accuracy of customer provided address? Do we know exact location of the address on Map? Is there a safe place? Can we make unattended delivery? Would signature be required? If the address is commercial property? Do we know open business hours of the address? What if customer is not home? Is there an alternate delivery address? Does customer have any special preference? What are other addresses that also have packages to be delivered on the same day? Are we optimizing delivery associate’s route? Does delivery associate know locality well enough? Is there an access code to get inside building? And the list simply goes on. At the core of all of it lies quality of underlying data that can help make those decisions in time. The person in this role will be a strong influencer who will ensure goal alignment with Technology, Operations, and Finance teams. This role will serve as the face of the organization to global stakeholders. This position requires a results-oriented, high-energy, dynamic individual with both stamina and mental quickness to be able to work and thrive in a fast-paced, high-growth global organization. Excellent communication skills and executive presence to get in front of VPs and SVPs across Amazon will be imperative. Key Strategic Objectives: Amazon is seeking an experienced leader to own the vision for quality improvement through global address management programs. As a Business Intelligence Engineer of Amazon last mile quality team, you will be responsible for shaping the strategy and direction of customer-facing products that are core to the customer experience. As a key member of the last mile leadership team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with product and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed. You will set the tempo for defect reduction through continuous improvement and drive accountability across multiple business units in order to deliver large scale high visibility/ high impact projects. You will lead by example to be just as passionate about operational performance and predictability as you will be about all other aspects of customer experience. The Successful Candidate Will Be Able To Effectively manage customer expectations and resolve conflicts that balance client and company needs. Develop process to effectively maintain and disseminate project information to stakeholders. Be successful in a delivery focused environment and determining the right processes to make the team successful. This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done. Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment. Partner with key stakeholders to develop the vision and strategy for customer experience on our platforms. Influence product roadmaps based on this strategy along with your teams. Support the scalable growth of the company by developing and enabling the success of the Operations leadership team. Serve as a role model for Amazon Leadership Principles inside and outside the organization Actively seek to implement and distribute best practices across the operation Basic Qualifications 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience writing complex SQL queries Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3030194

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. The Role As a Data Science Lead with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc…. Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class. Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations IT Skills & Experience Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team. Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning Knowledge of MLOps process for efficient management of the AI/ML projects. Must have lead project execution with other data scientists/ engineers for large and complex data sets Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests. Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc Strong knowledge of deep learning with special focus on CNN/R-CNN/LSTM/Encoder/Transformer architecture Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50. Demonstrated capability using RNNS for text, speech data, generative models Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc. Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data People Skills Professional and open communication to all internal and external interfaces. Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Strong analytical skills. Industry Specific Experience 10 -18 Years of experience of AI/ML project execution and AI/ML research Education – Qualifications, Accreditation, Training Master or Doctroate degree Computer Science Engineering/Information Technology /Artificial Intelligence Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence

Java Proficiency: Strong understanding of Java programming, including OOP principles. Frameworks: Experience with frameworks like Spring Boot or Java EE for building RESTful APIs. Database Knowledge: Familiarity with SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB). API Development: Skills in designing and consuming RESTful services. Microservices Architecture: Understanding of microservices principles and experience in building microservices. Version Control: Proficiency in using Git for version control. React.js: Strong knowledge of React, including hooks, state management, and component lifecycle. JavaScript/TypeScript: Proficiency in JavaScript, with experience in TypeScript being a plus. HTML/CSS: Solid understanding of HTML5 and CSS3, including responsive design principles. State Management: Familiarity with state management libraries like Redux or Context API. Build Tools: Experience with tools like Webpack, Babel, or Create React App. Testing Frameworks: Knowledge of testing libraries such as Jest or React Testing Library.

Role: Solutions Architect(R&D) Exp: 10 - 17 Years Mode of Work: On-site Employment Type: Full-time Location: Kochi Job Description Predominantly a technical role but also would be required to understand and work alongside teams across the Enterprise – functional, architecture, engineering, infrastructure and quality. With continuous evolution in tech ecosystem, flexibility is required to quickly pickup, learn new technologies as need be and deliver results. Demonstrated experience in architecting and implementing enterprise application architectures to meet business requirements in complex environments Experience in design of medium to large sized applications, preferably in the cloud and/or container environment A team player and a confident communicator with a good attitude Critical thinking and ability to look at problem from different angles Good written and Verbal communication skills Mandatory Qualifications The incumbent candidate should have an E2E viewpoint, this is more than that of a senior developer. Enterprise Architecture mindset with breadth of cross-functional domains and technologies / skillset. Sound knowledge in Architectural Patterns, best practices and Non-Functional Requirements Experienced in Microservices, any NoSQL DB, RDBMS (Oracle or MySQL or equivalent) Experience with cloud solutions, virtual platforms, software development experience, and operational management practices and frameworks Large-scale systems integration involving on-premises technology and public cloud platforms Java/Python/any programming language application development experience

Apptunix is a leading Mobile App & Web Solutions development agency, based out of Texas, US. The agency empowers cutting-edge startups & enterprise businesses, paving the path for their incremental growth via technology solutions. Established in mid-2013, Apptunix has since then engaged in elevating the client’s interests & satisfaction through rendering improved and innovative Software and Mobile development solutions. The company strongly comprehends business needs and implements them by merging advanced technologies with its seamless creativity. Apptunix currently employs 250+ in-house experts who work closely & dedicatedly with clients to build solutions as per their customers' needs. Required Skills: - Deep Experience working on Node.js - Understanding of SQL and NoSQL database systems with their pros and cons - Experience working with databases like MongoDB. - Solid Understanding of MVC and stateless APIs & building RESTful APIs - Should have experience and knowledge of scaling and security considerations - Integration of user-facing elements developed by front-end developers with server-side logic - Good experience with ExpressJs, MongoDB, AWS S3 and ES6 - Writing reusable, testable, and efficient code - Design and implementation of low-latency, high-availability, and performance applications - Implementation of security and data protection - Integration of data storage solutions and Database structure - Good experience in Nextjs, Microservices, RabbitMQ, Sockets Experience: 5-8 years Job Type: Full-time Pay: ₹186,545.16 - ₹992,440.36 per year Experience: Node.js: 5 years (Required) Location: Mohali, Punjab (Required) Work Location: In person

Experience: 1 to 3 years Location: Mohali Punjab OVERVIEW Responsibilities: Develop and maintain web applications using Python frameworks like Django and Flask. Utilize data analysis libraries such as NumPy, pandas, and matplotlib for extracting insights from large datasets. Implement machine learning models using TensorFlow and PyTorch for various applications. Handle HTTP requests efficiently using libraries like Requests. Perform web scraping tasks using Beautiful Soup and Scrapy. Collaborate with cross-functional teams to design and implement scalable solutions. Ensure the security and integrity of data by integrating with database systems like SQL (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB). Stay updated with the latest trends and technologies in the Python ecosystem. Requirements: Bachelor’s degree in Computer Science, Engineering, or related field. Excellent problem-solving skills and attention to detail. Ability to work independently as well as in a team environment. Strong proficiency in Python programming language. Experience with Python frameworks such as Django and Flask for web development. Familiarity with LangChain, LlamaIndex, ML, or VectorDB technologies is a plus, enhancing the team’s capabilities in data management and analysis. Proficiency in deploying Python applications to AWS, Azure, or GCP cloud platforms. Experience with FastAPI as an API development framework, facilitating efficient and robust development of web APIs to support the software ecosystem. Familiarity with data analysis libraries like NumPy, Pandas, Requests, and matplotlib. Experience in handling HTTP requests and web scraping. Understanding of database systems like SQL (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB). Strong communication and interpersonal skills. Programming languages: Python, JavaScript, HTML, CSS. Experience with DevOps tools (Jenkins, Docker, Kubernetes) is a plus. Version control: Git, GitHub. Knowledge of LLM, AI/ML, and OpenAI technologies is a bonus. Job Type: Full Time, Permanent, Regular 5 Days Working Location: Plot no.968, Sector-82, JLPL Industrial Area, Mohali, Punjab (140306) Supplement Pay: Yearly Performance Based Bonus, Overtime pays, and others. Benefits: Personality and Training Development, Paid leave, Mensuration leaves, Maternity leaves, Compensatory Off and other special leaves.

Male applicants are preferred We are looking for an enthusiastic and proactive Junior Python Developer to join our development team. In this role, you’ll help build and maintain backend services, work on API integrations, and collaborate closely with frontend developers to ensure seamless functionality between backend and ReactJS applications. You will have the opportunity to learn from experienced developers and gain hands-on experience in developing scalable solutions that drive real-world impact. Experience Required: Minimum 1 Year Mode of Work: On-Site Only (Mohali, Punjab) Mode of Interview : Face to Face( On-Site) Contact for Queries: +91-9872993778 (Mon–Fri, 11 AM – 6 PM) Note: This number will be unavailable on weekends and public holidays. Key Responsibilities: Backend Development: Assist in the development of clean, efficient, and scalable Python applications to meet business needs. API Integration: Support the creation, management, and optimization of RESTful APIs to connect backend and frontend components. Collaboration: Work closely with frontend developers to integrate backend services into ReactJS applications, ensuring smooth data flow and functionality. Testing and Debugging: Help with debugging, troubleshooting, and optimizing applications for performance and reliability. Code Quality: Write readable, maintainable, and well-documented code while following best practices. Participate in code reviews to maintain high coding standards. Learning and Development: Continuously enhance your skills by learning new technologies and methodologies, contributing ideas to improve development processes. Required Skills and Experience: Python Development: Must have experience in Python, ideally with frameworks like Django or Flask. API Knowledge: Basic understanding of FAST API , RESTful API design and integration. Frontend Knowledge: Familiarity with frontend technologies such as ReactJS, HTML5, CSS3, and JavaScript. Databases: Understanding of both relational (SQL) and NoSQL databases. Version Control: Practical knowledge of using Git for version control and collaborative coding. Problem Solving: Strong analytical skills with an ability to identify and resolve issues effectively. Teamwork: Ability to communicate clearly and collaborate well with cross-functional teams. Preferred Qualifications: Education: A degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). Cloud Experience: Basic knowledge of cloud platforms like AWS, Google Cloud, or Azure is a plus. Agile Experience: Familiarity with Agile/Scrum methodologies is a plus. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹30,000.00 per month Location Type: In-person Schedule: Day shift Monday to Friday Experience: Python: 1 year (Preferred) Work Location: In person

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of Position: AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Team Guidance & Mentorship : Provide technical leadership and mentorship to a team of full-stack developers, fostering a collaborative and innovative environment. Project Management : Oversee project planning, tracking, and execution to ensure timely delivery of high-quality software solutions Code Reviews : Conduct regular code reviews to ensure adherence to best practices, coding standards, and performance optimization Technical Strategy : Collaborate with stakeholders to define technical strategies and architectures that align with business goals. Conflict Resolution : Address and resolve technical issues, team conflicts, and other challenges to maintain a productive workflow. Training & Development : Identify training needs and facilitate knowledge sharing sessions to keep the team updated with the latest technologies and methodologies. Coding : Write clean, scalable, and maintainable code in .NET and Angular to develop robust web applications. Feature Development: Implement new features and functionalities as per project requirements. Debugging & Troubleshooting : Identify, diagnose, and resolve complex technical issues in both backend and frontend components. Testing & Validation: Perform unit and integration testing to ensure the reliability and performance of the software. Documentation : Maintain comprehensive documentation for code, APIs, and system configurations. Continuous Improvement: Stay updated with emerging technologies and industry trends to continuously improve development practices. Knowledge / Experience / Competencies Required IT Skills & Experience: Backend Technologies Proficiency in .NET Core, C#, and ASP.NET. Experience With Entity Framework, LINQ, And Other ORM Frameworks. Knowledge of RESTful APIs, Web API, and SignalR. Experience with microservices architecture and containerization (Docker, Kubernetes). Understanding of asynchronous programming and concurrency. Frontend Technologies Strong experience with Angular, TypeScript, and JavaScript. Proficiency in HTML5, CSS3, SCSS, and responsive design. Familiarity with frontend build tools (Webpack, Angular CLI) and state management libraries (NgRx). Database Technologies Proficient in SQL Server, including T-SQL and stored procedures. Experience with NoSQL databases like MongoDB. Cloud Technologies Experience with cloud platforms such as Azure or AWS. Knowledge of cloud services like Azure Functions, App Services, and AWS Lambda. DevOps & CI/CD Familiarity with version control systems (e.g., Git) and CI/CD pipelines (Azure DevOps, Jenkins). Understanding of infrastructure as code (IaC) using tools like Terraform or ARM templates. People Skills Excellent communication and interpersonal skills. Strong problem-solving abilities and attention to detail. Ability to work in a fast-paced, agile environment. Leadership qualities with a proactive and positive attitude. Preferred Qualifications Experience with cloud platforms such as Azure or AWS. Knowledge of microservices architecture and containerization (e.g., Docker, Kubernetes). Familiarity with Agile/Scrum methodologies. Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. 4 to 6 years of experience with .NET and Angular, particularly with a minimum of 2 years in a leadership role. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Mumbai Other Locations IND-KR-Bangalore, IND-MM-Pune, IND-TN-Chennai, IND-MM-Navi Mumbai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Manager

Work Location - Coimbatore Work Mode - Work from office. 📍 Please apply only if you are from Coimbatore or are willing to relocate to Coimbatore. WHO WE ARE We are a team of digital practitioners with roots stretching back to the earliest days of online commerce, who dedicate themselves to serving our client companies. We’ve seen the advancements first-hand over the last 25 years and believe our experiences allow us to innovate. Utilizing cutting-edge technology and providing bespoke, innovative services, we believe we can help you stay ahead of the curve. We take a holistic view of digital strategy. Our approach to transformation is based on conscious Intent to delight customers through continuous Insight and creative Innovation with an enduring culture of problem-solving. We bring every element together to create innovative, high-performing commerce experiences for enterprise B2C, B2B, D2C and Marketplace brands across industries. From mapping out business and functional requirements, to developing the infrastructure to optimize traditionally fragmented processes, we help you create integrated, future-proofed commerce solutions. WHAT YOU’LL BE DOING ● You will be responsible for building customer facing e-commerce websites and web applications with intuitive user experience and backend implementations. ● Work closely with the Project Manager,Product Owner, and a team of developers. ● You will provide leadership and guidance to coach, motivate and lead team members to their optimum performance levels and career potential ● You will provide technical solutions to empower end customers in turn accelerating the client's business growth. WHAT WE NEED IN YOU ● Strong in Javascript ES6 and Typescript, HTML, CSS ( SASS or LESS or Tailwind), ● Good experience in ReactJS. ● Experience in developing web applications with strong debugging skills ● Experience in at least one backend technologies - REST APIs, NodeJS, ● At least one database like mongoDB, NoSql, MySql, PostgreSql. ● Exposure on UI Performance improvement techniques - example - page speed improvement, Light Score etc. Good To Have ● Experience in any ecommerce platforms added advantage ● Cloud platform experience - AWS / Google Cloud. ● Nextjs exposure. QUALIFICATION ● Graduate - BE / Btech or equivalent. ● 6 to 10 years of experience ● Self motivated and quick learner with excellent problem solving skills. ● A good team player with nice communication skills. ● Energy and real passion to work in a startup environment.

DESCRIPTION AOP team within Amazon Transportation is looking for an innovative, hands-on and customer-obsessed Business Intelligence Engineer for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Key job responsibilities 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team 10) Provide program communications to stakeholders 11) Communicate roadblocks to stakeholders and propose solutions 12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams [January 21, 2025, 1:30 PM] Dhingra, Gunjit: Day in life A day in the life 1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved 6) Communicate complex analytical insights and business implications effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. BASIC QUALIFICATIONS 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Description Overview We are seeking a self-driven, inquisitive & curious SRE Database Site reliability engineer that drives reliability, performance, and availability, including ensuring data security and access control of database systems leveraged by the frontend application and the business transactions in both SQL and NoSQL database systems This is a critical enabler achieving a high resiliency during operations and also continuously improving through design during the software development lifecycle. The SRE database support engineer is integral part of the global team with its main purpose to provide a delightful customer experience for the user of the global consumer, commercial, supply chain and enablement functions in the PepsiCo digital products application portfolio of 260+ applications, enabling a full SRE Practice incident prevention / proactive resolution model. The scope of this role is focussed on the Modern architected cloud native application portfolio It requires a blend of technical expertise of database administration / engineering, SRE tools, modern applications architecture, IT operations experience, and analytics & influence skills. Responsibilities Reporting directly to the Modern IT Operations SRE enablement Associate Director, is responsible to enable & execute the pre-emptive diagnosis of an PepsiCo DPA applications towards service performance, reliability and availability expected by our customers and internal groups Ensure database availability, performance, and security in production environments. Instrument, monitor, pro-actively collaborate with development teams to optimize schema design, indexing, and query plans. Automate tasks using scripts or infrastructure-as-code tools. Understanding of cloud infrastructure and services. Ability to design and implement database replication and failover solutions. Providing insights along with troubleshoot and resolve database-related incidents and outages Stay up to date with emerging database technologies and best practices. Work closely with customer facing support teams to evolve & empower them with SRE insights Ability to collaborate effectively with development and operations teams. Participate in on-call support and orchestrating blameless post-mortems and encourage the practise within the organization Provides inputs to the definition, collection and analysis of data relevant products systems and their interactions towards output resiliency of the IT ecosystem especially related impacting customer statisfaction, Revenue or IT productivity Actively engage and drive AI Ops adoption across teams Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field. 8–12 years of professional experience as a Database administrator and or / database SRE with application knowledge Hands-on experience with Microsoft SQL Server, PostgreSQL, MySQL, and at least one leading NoSQL technology such as MongoDB, Cassandra, or Couchbase. Proficiency in writing complex SQL queries, stored procedures, and functions. Experience building self-heal scripts or remediation runbooks (Python, PowerShell, Bash)- Azure Logic Apps, Azure Functions- Integration with ServiceNow and AppDynamics APIs- Exposure with replication, clustering, and high availability setups. Experience with cloud platforms (AWS, Azure, Google Cloud Spanner, etc.). Solid understanding of database security, auditing, and compliance requirements. Familiarity with DevOps tools and practices (CI/CD, version control, infrastructure automation). Excellent problem-solving and analytical skills. Strong communication and documentation skills. Preferred Qualifications: Certifications such as Microsoft Certified: Azure Database Administrator Associate, MongoDB Certified DBA, or similar. Experience with cloud platforms (AWS RDS, Azure SQL, Google Cloud Spanner, etc.). Exposure to containerized database deployments using Docker or Kubernetes. Leadership and Soft skills: Driving for Results: Demonstrates perseverance and resilience in the pursuit of goals. Confronts and works to resolve tough issues. Exhibits a “can-do” attitude and a willingness to take on significant challenges Decision Making: Quickly analyses complex problems to find actionable, pragmatic solutions. Sees connections in data, events, trends, etc. Consistently works against the right priorities Collaborating: Collaborates well with others to deliver results. Keeps others informed so there are no unnecessary surprises. Effectively listens to and understands what other people are saying. Communicating and Influencing: Ability to build convincing, persuasive, and logical storyboards. Strong executive presence. Able to communicate effectively and succinctly, both verbally and on paper. Motivating and Inspiring Others: Demonstrates a sense of passion, enjoyment, and pride about their work. Demonstrates a positive attitude in the workplace. Embraces and adapts well to change. Creates a work environment that makes work rewarding and enjoyable.

DESCRIPTION Amazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Key job responsibilities 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team 10) Provide program communications to stakeholders 11) Communicate roadblocks to stakeholders and propose solutions 12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams A day in the life 1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved 6) Communicate complex analytical insights and business implications effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. BASIC QUALIFICATIONS 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business 4+ years of ecommerce, transportation, finance or related analytical field experience PREFERRED QUALIFICATIONS Experience in Statistical Analysis packages such as R, SAS and Matlab Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position : a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-WB-Kolkata, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Acuity Knowledge Partners (Acuity) is a leading provider of bespoke research, analytics and technology solutions to the financial services sector, including asset managers, corporate and investment banks, private equity and venture capital firms, hedge funds and consulting firms. Its global network of over 6,000 analysts and industry experts, combined with proprietary technology, supports more than 600 financial institutions and consulting companies to operate more efficiently and unlock their human capital, driving revenue higher and transforming operations. Acuity is headquartered in London and operates from 10 locations worldwide. The company fosters a diverse, equitable and inclusive work environment, nurturing talent, regardless of race, gender, ethnicity or sexual orientation. Acuity was established as a separate business from Moody’s Corporation in 2019, following its acquisition by Equistone Partners Europe (Equistone). In January 2023, funds advised by global private equity firm Permira acquired a majority stake in the business from Equistone, which remains invested as a minority shareholder. For more information, visit www.acuitykp.com Position Title- Associate Director (Senior Architect – Data) Department-IT Location- Gurgaon/ Bangalore Job Summary The Enterprise Data Architect will enhance the company's strategic use of data by designing, developing, and implementing data models for enterprise applications and systems at conceptual, logical, business area, and application layers. This role advocates data modeling methodologies and best practices. We seek a skilled Data Architect with deep knowledge of data architecture principles, extensive data modeling experience, and the ability to create scalable data solutions. Responsibilities include developing and maintaining enterprise data architecture, ensuring data integrity, interoperability, security, and availability, with a focus on ongoing digital transformation projects. Key Responsibilities Strategy & Planning Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders. Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement. Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. Ensure that data strategies and architectures are aligned with regulatory compliance. Develop a comprehensive data strategy in collaboration with different stakeholders that aligns with the transformational projects’ goals. Ensure effective data management throughout the project lifecycle. Acquisition & Deployment Ensure the success of enterprise-level application rollouts (e.g. ERP, CRM, HCM, FP&A, etc.) Liaise with vendors and service providers to select the products or services that best meet company goals Operational Management o Assess and determine governance, stewardship, and frameworks for managing data across the organization. o Develop and promote data management methodologies and standards. o Document information products from business processes and create data entities o Create entity relationship diagrams to show the digital thread across the value streams and enterprise o Create data normalization across all systems and data base to ensure there is common definition of data entities across the enterprise o Document enterprise reporting needs develop the data strategy to enable single source of truth for all reporting data o Address the regulatory compliance requirements of each country and ensure our data is secure and compliant o Select and implement the appropriate tools, software, applications, and systems to support data technology goals. o Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. o Collaborate with project managers and business unit leaders for all projects involving enterprise data. o Address data-related problems regarding systems integration, compatibility, and multiple-platform integration. o Act as a leader and advocate of data management, including coaching, training, and career development to staff. o Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture. o Document the data architecture and environment to maintain a current and accurate view of the larger data picture. o Identify and develop opportunities for data reuse, migration, or retirement. Data Architecture Design: Develop and maintain the enterprise data architecture, including data models, databases, data warehouses, and data lakes. Design and implement scalable, high-performance data solutions that meet business requirements. Data Governance: Establish and enforce data governance policies and procedures as agreed with stakeholders. Maintain data integrity, quality, and security within Finance, HR and other such enterprise systems. Data Migration: Oversee the data migration process from legacy systems to the new systems being put in place. Define & Manage data mappings, cleansing, transformation, and validation to ensure accuracy and completeness. Master Data Management: Devise processes to manage master data (e.g., customer, vendor, product information) to ensure consistency and accuracy across enterprise systems and business processes. Provide data management (create, update and delimit) methods to ensure master data is governed Stakeholder Collaboration: Collaborate with various stakeholders, including business users, other system vendors, and stakeholders to understand data requirements. Ensure the enterprise system meets the organization's data needs. Training and Support: Provide training and support to end-users on data entry, retrieval, and reporting within the candidate enterprise systems. Promote user adoption and proper use of data. 10 Data Quality Assurance: Implement data quality assurance measures to identify and correct data issues. Ensure the Oracle Fusion and other enterprise systems contain reliable and up-to-date information. Reporting and Analytics: Facilitate the development of reporting and analytics capabilities within the Oracle Fusion and other systems Enable data-driven decision-making through robust data analysis. Continuous Improvement: Continuously monitor and improve data processes and the Oracle Fusion and other system's data capabilities. Leverage new technologies for enhanced data management to support evolving business needs. Technology and Tools: Oracle Fusion Cloud Data modeling tools (e.g., ER/Studio, ERwin) ETL tools (e.g., Informatica, Talend, Azure Data Factory) Data Pipelines: Understanding of data pipeline tools like Apache Airflow and AWS Glue. Database management systems: Oracle Database, MySQL, SQL Server, PostgreSQL, MongoDB, Cassandra, Couchbase, Redis, Hadoop, Apache Spark, Amazon RDS, Google BigQuery, Microsoft Azure SQL Database, Neo4j, OrientDB, Memcached) Data governance tools (e.g., Collibra, Informatica Axon, Oracle EDM, Oracle MDM) Reporting and analytics tools (e.g., Oracle Analytics Cloud, Power BI, Tableau, Oracle BIP) Hyperscalers / Cloud platforms (e.g., AWS, Azure) Big Data Technologies such as Hadoop, HDFS, MapReduce, and Spark Cloud Platforms such as Amazon Web Services, including RDS, Redshift, and S3, Microsoft Azure services like Azure SQL Database and Cosmos DB and experience in Google Cloud Platform services such as BigQuery and Cloud Storage. Programming Languages: (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.) SQL: Strong SQL skills for querying and managing databases. Python: Proficiency in Python for data manipulation and analysis. Java: Knowledge of Java for building data-driven applications. Data Security and Protocols: Understanding of data security protocols and compliance standards. Key Competencies Qualifications: Education: Bachelor’s degree in computer science, Information Technology, or a related field. Master’s degree preferred. Experience: 10+ years overall and at least 7 years of experience in data architecture, data modeling, and database design. Proven experience with data warehousing, data lakes, and big data technologies. Expertise in SQL and experience with NoSQL databases. Experience with cloud platforms (e.g., AWS, Azure) and related data services. Experience with Oracle Fusion or similar ERP systems is highly desirable. Skills: Strong understanding of data governance and data security best practices. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively in a collaborative team environment. Leadership experience with a track record of mentoring and developing team members. Excellent in documentation and presentations. Good knowledge of applicable data privacy practices and laws. Certifications: Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Big Data – Specialty) are a plus. Behavioral A self-starter, an excellent planner and executor and above all, a good team player Excellent communication skills and inter-personal skills are a must Must possess organizational skills, including multi-task capability, priority setting and meeting deadlines Ability to build collaborative relationships and effectively leverage networks to mobilize resources Initiative to learn business domain is highly desirable Likes dynamic and constantly evolving environment and requirements

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. The Role As a Data Science Lead with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc…. Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class. Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations IT Skills & Experience Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team. Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning Knowledge of MLOps process for efficient management of the AI/ML projects. Must have lead project execution with other data scientists/ engineers for large and complex data sets Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests. Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc Strong knowledge of deep learning with special focus on CNN/R-CNN/LSTM/Encoder/Transformer architecture Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50. Demonstrated capability using RNNS for text, speech data, generative models Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc. Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data People Skills Professional and open communication to all internal and external interfaces. Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Strong analytical skills. Industry Specific Experience 10 -18 Years of experience of AI/ML project execution and AI/ML research Education – Qualifications, Accreditation, Training Master or Doctroate degree Computer Science Engineering/Information Technology /Artificial Intelligence Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence

Experience : 8.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: JMeter, Selenium, Automation Anywhere, API Testing, UI Testing, Java, Python, Golang Netskope is Looking for: About Netskope Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope. About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. Netskope's API Protection Framework team is responsible for designing and implementing a scalable and elastic architecture to provide protection for enterprise SaaS and IaaS application data. This is achieved by ingesting high volume activity events at near real-time and analyzing data to provide security risk management for our customers, including data security, access control, threat prevention, data loss prevention, user coaching and more. What’s In It For You As a member of this team you will work in an innovative, fast-paced environment with other experts to build Cloud-Native solutions using technologies like Kubernetes, Helm, Prometheus, Grafana, Jaeger (open tracing), persistent messaging queues, SQL/NO-SQL databases, key-value stores, etc. You will solve complex scale problems, and deploy and manage the solution in production. If you are driven by high-quality, high-velocity software delivery challenges, and using innovative and cutting edge solutions to achieve these goals, we would like to speak with you. What You Will Be Doing Developing expertise in our cloud security solutions, and using that expertise and your experience to help design and qualify the solution as a whole Contributing to building a flexible and scalable automation solution Working closely with the development and design team to help create an amazing user experience Helping to create and implement quality processes and requirements Working closely with the team to replicate customer environments Automating complex test suites Developing test libraries and coordinating their adoption. Identifying and communicating risks about our releases. Owning and making quality decisions for the solution. Owing the release and being a customer advocate. Required Skills And Experience 8+ years of experience in the field of SDET and a track record showing that you are a highly motivated individual, capable of coming up with creative, innovative and working solutions in a collaborative environment Strong Java and/or Python programming skills. (Go a plus) Knowledge of Jenkins, Hudson, or any other CI systems. Experience testing distributed systems A proponent of Strong Quality Engineering methodology. Strong knowledge of linux systems, Docker, k8s Experience building automation frameworks Experience with Databases, SQL and NoSQL (MongoDB or Cassandra) a plus Knowledge of network security, authentication and authorization. Comfortable with ambiguity and taking the initiative regarding issues and decisions Proven ability to apply data structures and algorithms to practical problems. Education BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Title: Senior Software Engineer - Java Job Code: CUB/2025/SE/010 Experience: 9+ years Location: Infopark, Kochi Why Join Us? Innovative Environment : Join a forward-thinking company that encourages creativity and problem-solving. Career Growth : Opportunities for professional development and career advancement. Collaborative Culture : Work in a team-oriented environment where your contributions are valued. Competitive Compensation : Attractive salary package and performance-based incentives. Job Requirements Minimum of 5 years of professional experience in Java development. Strong expertise in building scalable applications using Java and Spring Boot. Ability to design and implement efficient, containerized, and cloud-ready solutions. Key Responsibilities Develop scalable applications using Java 1.8+ , Flux/Reactive programming , lambdas , and Streams . Utilize multithreading techniques to optimize application performance. Implement solutions using Spring Boot (Spring Data, Spring Stream, Spring Task/Batch, WebClient). Work with RDBMS (PostgreSQL or equivalent) and NoSQL databases. Design and manage streaming pipelines with Kafka . Deploy and orchestrate applications using Docker and Kubernetes . Collaborate with cross-functional teams to deliver high-quality solutions. Mentor junior developers and contribute to best practices. Required Skills Programming: Java 1.8+ with Flux/Reactive programming, lambdas, and Streams. Frameworks: Spring Boot (Spring Data, Stream, Task/Batch, WebClient). Databases: PostgreSQL and one NoSQL database (MongoDB, Cassandra, or Neo4j). Streaming: Kafka. Containerization: Docker and Kubernetes. Preferred Skills Familiarity with ArangoDB. Experience with CI/CD pipelines. Exposure to cloud platforms and DevOps practices. Soft Skills Strong leadership and team mentorship abilities. Excellent problem-solving and communication skills. Ability to collaborate effectively across teams. Qualifications Bachelor’s degree in Computer Science, IT, or a related field.

Experience : 7+ years Location: Cochin Job Description : strong focus on .NET technologies Proficiency in C#, ASP.NET MVC, .NET Core, Web API Experience with front-end technologies like HTML, CSS, JavaScript, Angular or React (preferred) Strong understanding of RESTful services, Microservices, and API development Familiarity with Entity Framework, LINQ, SQL Server, NoSQL databases Experience with Azure or AWS cloud platforms is a plus Familiarity with CI/CD pipelines, version control systems, and DevOps practices Solid problem-solving skills and ability to work independently and collaboratively Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Job Title: Software Engineer - Java Job Code: CUB/2025/SE/011 Experience: 3-5 years Location: Infopark, Kochi Why Join Us? Innovative Environment : Join a forward-thinking company that encourages creativity and problem-solving. Career Growth : Opportunities for professional development and career advancement. Collaborative Culture : Work in a team-oriented environment where your contributions are valued. Competitive Compensation : Attractive salary package and performance-based incentives. Job Requirements 2-4 years of professional experience in Java development. Ability to contribute to scalable application development using Java and Spring Boot. Exposure to containerized deployments and modern development workflows. Key Responsibilities Develop and maintain Java applications using Java 1.8+ , Flux/Reactive programming , lambdas, and Streams. Contribute to solutions using Spring Boot (Spring Data, Spring Stream, Spring Task/Batch, Web Client). Work with PostgreSQL and integrate with NoSQL databases . Assist in implementing Kafka-based streaming solutions. Support containerized deployments with Docker and Kubernetes . Collaborate with senior developers and participate in code reviews. Ensure code quality through best practices and testing. Learn and adapt to evolving tools and technologies. Required Skills Programming: Java 1.8+ with basic Flux/Reactive programming concepts. Frameworks: Spring Boot (Spring Data, Stream, Task/Batch, WebClient). Databases: PostgreSQL and one NoSQL database (MongoDB, Cassandra, or Neo4j). Streaming: Kafka (basic hands-on experience). Containerization: Docker and Kubernetes (working knowledge). Preferred Skills Familiarity with ArangoDB. Experience in CI/CD processes. Exposure to Agile development environments. Soft Skills Strong communication skills. Good problem-solving ability. Eagerness to learn and grow in a team environment. Qualifications Bachelor’s degree in Computer Science, IT, or a related field (or equivalent experience).

An exciting opportunity to join an established UK based company with 20% year on year growth rate. A rapidly growing UK based software (SaaS) company dedicated to providing cutting-edge solutions for the logistics and transportation industry. With ongoing investment in new products, we offer the excitement and innovation of a start-up coupled with the stability and benefits of an established business. Knowledge, Skills and Experience Required: Able to communicate clearly and accurately on technical topics in English (verbal and written) Can write performant, testable, and maintainable JAVA code with 6+ years of proven commercial JAVA experience. Knowledge of best practice and patterns across the implementation, build and deployment of JAVA services. Proven extensive experience of Java ecosystem and related technologies and frameworks. o Spring Boot, Spring libraries and frameworks. o Hibernate o Maven Fluent in TDD and familiar with BDD Knowledge of Git, JIRA, Confluence, Maven, Docker and using Jenkins Solid experience of working with RESTful services in microservices oriented architectures Solid knowledge of working within a cloud-based infrastructure, ideally AWS Knowledge of NoSQL and relational database management systems, especially PostgreSQL Experience of building services within event or stream-based systems using either SQS, Kafka or Pulsar, CQRS Thorough understanding of Computer Science fundamentals and software patterns Nice to have: Experience with AWS Services such as Lambda, SQS, S3, Rekognition Face Liveness Experience with Camunda BPMN Job Types: Full-time, Permanent Pay: ₹2,000,000.00 - ₹4,000,000.00 per year Location Type: In-person Schedule: Day shift Evening shift Monday to Friday Morning shift Ability to commute/relocate: Ernakulam, Kerala: Reliably commute or planning to relocate before starting work (Required) Experience: Total : 10 years (Required) Java: 10 years (Required) Work Location: In person Expected Start Date: 30/08/2025

Experience : 5+ years Location: Cochin Job Description : strong focus on .NET technologies Proficiency in C#, ASP.NET MVC, .NET Core, Web API Experience with front-end technologies like HTML, CSS, JavaScript, Angular or React (preferred) Strong understanding of RESTful services, Microservices, and API development Familiarity with Entity Framework, LINQ, SQL Server, NoSQL databases Experience with Azure or AWS cloud platforms is a plus Familiarity with CI/CD pipelines, version control systems, and DevOps practices Solid problem-solving skills and ability to work independently and collaboratively Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

We're Hiring: IT Recruiter (2 to 5 Years Experience) Are you a tech-savvy recruiter with a passion for finding the right talent in a fast-paced IT world? We’re looking for someone just like you! What You’ll Do: * Partner with hiring managers to understand job requirements and team dynamics * Source & screen candidates via LinkedIn, portals, referrals, and internal databases * Conduct initial technical assessments for role suitability * Build strong pipelines across key tech domains: Programming: Java, Python, .NET, JavaScript, Node.js, React, Angular Cloud: AWS, Azure, GCP DevOps: Jenkins, Docker, Kubernetes, Terraform, Ansible Data: SQL, NoSQL, Hadoop, Spark, Power BI, Tableau ERP/CRM: SAP, Salesforce Testing: Manual, Automation, Selenium, API Others: Finacle, Murex, Oracle, Unix, PLSQL * Coordinate interviews & ensure smooth candidate experience * Maintain ATS records accurately * Share market insights with hiring managers * Constantly refine sourcing strategies based on trends and data What We’re Looking For: * Bachelor’s degree (technical background a plus) * 2 to 5 years of IT recruitment experience (corporate/agency) * Strong knowledge of tech stacks & IT hiring practices * Excellent communication & stakeholder management * A sharp eye for both technical and cultural fit * Proficiency in ATS, job portals, and LinkedIn Recruiter Apply Now: hr@virtueevarsity.com / 9958100227 Let’s connect and build something impactful together! Job Type: Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Health insurance Provident Fund Application Question(s): Work Location - Bangalore, Bhopal and Delhi Experience: IT Recruiter: 2 years (Required) Work Location: In person

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position : a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-WB-Kolkata, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 3, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Team Guidance & Mentorship : Provide technical leadership and mentorship to a team of full-stack developers, fostering a collaborative and innovative environment. Project Management : Oversee project planning, tracking, and execution to ensure timely delivery of high-quality software solutions Code Reviews : Conduct regular code reviews to ensure adherence to best practices, coding standards, and performance optimization Technical Strategy : Collaborate with stakeholders to define technical strategies and architectures that align with business goals. Conflict Resolution : Address and resolve technical issues, team conflicts, and other challenges to maintain a productive workflow. Training & Development : Identify training needs and facilitate knowledge sharing sessions to keep the team updated with the latest technologies and methodologies. Coding : Write clean, scalable, and maintainable code in .NET and Angular to develop robust web applications. Feature Development: Implement new features and functionalities as per project requirements. Debugging & Troubleshooting : Identify, diagnose, and resolve complex technical issues in both backend and frontend components. Testing & Validation: Perform unit and integration testing to ensure the reliability and performance of the software. Documentation : Maintain comprehensive documentation for code, APIs, and system configurations. Continuous Improvement: Stay updated with emerging technologies and industry trends to continuously improve development practices. Knowledge / Experience / Competencies Required IT Skills & Experience: Backend Technologies Proficiency in .NET Core, C#, and ASP.NET. Experience With Entity Framework, LINQ, And Other ORM Frameworks. Knowledge of RESTful APIs, Web API, and SignalR. Experience with microservices architecture and containerization (Docker, Kubernetes). Understanding of asynchronous programming and concurrency. Frontend Technologies Strong experience with Angular, TypeScript, and JavaScript. Proficiency in HTML5, CSS3, SCSS, and responsive design. Familiarity with frontend build tools (Webpack, Angular CLI) and state management libraries (NgRx). Database Technologies Proficient in SQL Server, including T-SQL and stored procedures. Experience with NoSQL databases like MongoDB. Cloud Technologies Experience with cloud platforms such as Azure or AWS. Knowledge of cloud services like Azure Functions, App Services, and AWS Lambda. DevOps & CI/CD Familiarity with version control systems (e.g., Git) and CI/CD pipelines (Azure DevOps, Jenkins). Understanding of infrastructure as code (IaC) using tools like Terraform or ARM templates. People Skills Excellent communication and interpersonal skills. Strong problem-solving abilities and attention to detail. Ability to work in a fast-paced, agile environment. Leadership qualities with a proactive and positive attitude. Preferred Qualifications Experience with cloud platforms such as Azure or AWS. Knowledge of microservices architecture and containerization (e.g., Docker, Kubernetes). Familiarity with Agile/Scrum methodologies. Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. 4 to 6 years of experience with .NET and Angular, particularly with a minimum of 2 years in a leadership role. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Mumbai Other Locations IND-KR-Bangalore, IND-MM-Pune, IND-TN-Chennai, IND-MM-Navi Mumbai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Manager