Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Responsibilities:
Experienced Software Engineers (SWEs) Opportunity: We are seeking highly skilled, motivated, and experienced Software Engineers with a passion for performance optimization and specialized system development to join our PwC Google Data and Analytics team. In this pivotal role, you will play a crucial part in designing, developing, and deploying scalable, high-performance Data and AI solutions that will power our products, accelerators, and client solutions & products. This involves building systems and tools that enhance speed, scale, and efficiency of AI agents, simulations, real-time data processing, and advanced analytical workloads. You will have the opportunity to work on complex technical challenges, work with novel architectures, and directly impact the performance capabilities of our core products and those of our clients. What You'll Do: · Design, develop, test, deploy, and maintain robust, scalable, and high-quality software applications, ADKs. · Design, develop, and optimize software for high-performance computing, focusing on accelerating AI agent interactions, multi-agent simulations, or large-scale data analytics pipelines. · Write clean, efficient, and well-documented code in Python, Java, Go, JavaScript, C# for Agentic Integrations to Applications (SaaS and PaaS) · Implement highly efficient algorithms and data structures to maximize throughput and minimize latency for complex computational tasks. · Write Function calls for API based Integrations for Agentic systems · Develop tools and frameworks that enable faster development and deployment of accelerated AI agents and data analytics solutions. · Collaborate closely with product managers, UX/UI designers, and other engineers to understand requirements and translate them into technical specifications and elegant solutions. · Participate in code reviews, providing constructive feedback and ensuring adherence to best practices and coding standards. · Identify and resolve performance, scalability, and other production issues. · Participate actively in architectural discussions, guiding the technical direction for our acceleration platforms. · Stay up to date with emerging technologies and industry trends, applying them where appropriate to improve our systems.
Mandatory skill sets: What You'll Bring:
· Bachelor’s or master’s degree in computer science, Software Engineering, or a related technical field (or equivalent practical experience). · Minimum 5 years of professional experience in software development, with a strong portfolio of successfully delivered projects. · Proficiency in one or more of the following programming languages e.g., Python, Java, Go, JavaScript (Node.js/React/Angular/Vue), C#. · Solid understanding of data structures, algorithms, and object-oriented design principles. · Experience with cloud platforms like AWS, Azure, GCP; distributed systems; microservices architecture; RESTful APIs; databases - SQL/NoSQL; containerization - Docker/Kubernetes; CI/CD pipelines. · Familiarity with agile development methodologies (Scrum, Kanban). · Strong problem-solving skills, with the ability to analyze complex issues and propose effective solutions. · Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team environment. · A strong passion for technology, continuous learning, and building high-quality software.
Preferred skill sets:
· Experience & certifications with Google cloud stack. · Experience with front-end libraries, machine learning frameworks, big data tools, spark, snowflake, Git. · Contributions to open-source projects. · Familiarity with security best practices in software development.
Years of experience required:
5+ Years
Education qualification:
BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Software EngineeringOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date