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Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In technology delivery at PwC, you will focus on implementing and delivering innovative technology solutions to clients, enabling seamless integration and efficient project execution. You will manage the end-to-end delivery process and collaborate with cross-functional teams to drive successful technology implementations. We are looking for a skilled Fullstack Software Developer with expertise in Node.js to join our team. The ideal candidate will be responsible for developing, maintaining, and enhancing web applications, working across both frontend and backend technologies. You will collaborate with designers, developers, and stakeholders to create high-performance, scalable, and user-friendly solutions. Key Responsibilities: Develop and maintain web applications using Node.js for backend services. Design and implement efficient APIs and integrate third-party services. Work with frontend technologies (React, Angular, or Vue.js) to build intuitive user interfaces. Optimize application performance and ensure security best practices. Collaborate with cross-functional teams to define and implement new features. Write clean, maintainable, and well-documented code. Conduct code reviews, troubleshoot bugs, and improve development workflows. Stay updated with industry trends and emerging technologies. Required Qualifications: Proficiency in Node.js and backend frameworks like Express.js or NestJS. Strong experience with frontend technologies such as React, Angular, or Vue.js. Solid understanding of JavaScript, TypeScript, and asynchronous programming. Experience working with databases (SQL or NoSQL, such as PostgreSQL, MongoDB). Knowledge of RESTful APIs and microservices architecture. Familiarity with Docker, Kubernetes, or CI/CD pipelines. Strong problem-solving skills and ability to work in an agile environment. Preferred Qualifications: Experience with cloud services (AWS, Azure, or GCP). Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Client Management, Communication, Creativity, Deliverable Planning, Delivery Management, Developing User Stories, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, IT Business Strategy, IT Consulting, IT Infrastructure, IT Service Management (ITSM), IT Systems Development, Leading Design Workshops, Learning Agility, Market Research, Optimism, Process Improvement {+ 22 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Up to 20% Available for Work Visa Sponsorship? No Government Clearance Required? Yes Job Posting End Date Show more

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more

Main Responsibilities Collaborate with cross-functional teams to analyze project requirements, design system architecture, and develop robust applications Write, update, and maintain software packages/code to handle specific jobs based on requirement document Conduct code reviews, identify areas for improvement, and implement best practices to maintain code quality, readability, and maintainability Implement security measures and protocols within .Net applications, including authentication, authorization, and data encryption Utilize your strong knowledge of development tools to design and implement scalable and modular applications Own medium to big size module(s) in project(s) and develop it with the minimal supervision from the project lead Train system users in system operation or maintenance Consult with technical leads to clarify program intent, identify problems, and suggest changes Support junior developers’ work Job Qualifications Education: Bachelor’s degree in computer science or equivalent field Professional Experience Experience: 3-5 years Technical Skills C#, ASP NET, WCF, SQL Server Development, Entity Framework, Windows Services, JavaScript, JQuery, HTML, CSS, Bootstrap, MS Reporting Services, .Net Core, Angular JS, Angular CQRS or NTier &Onion architectures are plus Experience with debugging, performance profiling and optimization Interpersonal Skills Communication and presentations Business Writing Detail-oriented and able to prioritize Analytical skills Troubleshooting and problem-solving Apply Now Show more

Line of Service Industry/Sector Specialism Management Level Associate Job Description & Summary The Data Engineering Associate helps evaluate requirements, assist in design discussions and sprint planning for the construction of data pipelines, Extraction, and Transformation logic. They will be competent in Python Programming, SOLID, and DRY Design principles. The SA Data Engineer will leverage their skills in relational databases, cloud storage, and data wrangling to support business decisions and insights. The role requires a strong foundation in data management practices and the ability to mentor junior engineers. Job Description Key Responsibilities: Build, and maintain scalable data pipelines and architectures to process large volumes of data efficiently. Implement and manage relational databases and relational database management systems (RDBMS) using Python, SQL and other languages. Engage in data wrangling and cleaning processes to ensure data quality and consistency. Conduct code reviews and adhere to coding standards to maintain the quality and integrity of data engineering solutions. Collaborate with cross-functional teams to identify data requirements and implement appropriate data solutions. Mentor junior engineers and provide guidance on best practices in data engineering. Required Skills & Experience: 2 years experience. SOLID and DRY Programming principles - The ability to plan, execute, and evaluate code for compliance with industry best practices Python Programing - The ability to write efficient, executable code for the creation of Data Pipelines Restful APIs - The ability to integrate API calls into dat streams Azure Databricks or similar product (Microsoft Fabric, etc.) - Create Jupyter Notebooks using Python Libraries, create and manage workflows and pipeline Set Theory - foundational principles for handling data organization, relationships, and operations within large data sets. This knowledge allows them to efficiently manipulate, query, and integrate data, ensuring accurate and scalable solutions for complex data engineering tasks. Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more

Responsible for supporting the I&L and Water Solution Applications Equipment Installation and maintenance / services (PM and Call Outs) I&L & Laundry Equipment's Trouble Shooting Technical Reports New Laundry & water treatment Setups Reporting Responsible for supporting the I&L and Water Solution Applications Equipment Installation and maintenance / services (PM and Call Outs) I&L & Laundry Equipment's Trouble Shooting Technical Reports New Laundry & water treatment Setups Reporting Show more

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Machine Learning {+ 12 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? Yes Government Clearance Required? No Job Posting End Date Show more