Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
& Summary
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In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
& 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, highperformance 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, realtime 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 Youll Do Design, develop, test, deploy, and maintain robust, scalable, and highquality software applications, ADKs. Design, develop, and optimize software for highperformance computing, focusing on accelerating AI agent interactions, multiagent simulations, or largescale data analytics pipelines. Write clean, efficient, and welldocumented 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 Youll 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 objectoriented 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 problemsolving 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 highquality software.
Preferred skill sets
Experience & certifications with Google cloud stack. Experience with frontend libraries, machine learning frameworks, big data tools, spark, snowflake, Git. Contributions to opensource 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
Degrees/Field of Study required Master of Engineering, Master of Business Administration, Bachelor of Engineering
Degrees/Field of Study preferred
Required Skills
Software Engineering
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}
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