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The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. Youll work at the heart of global teams across Advisory, Assurance, Tax and Business Servicessolving real client challenges through connected collaboration. Well help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a differenceevery day. As a Data & Backend Engineer (Full Stack) Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. In this role at PwC Acceleration Center India, you will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will develop a deeper understanding of the business context and how it is changing, using reflection to enhance strengths and address development areas. Responsibilities Designing and developing robust data solutions using advanced technologies and techniques to transform raw data into actionable insights Leveraging statistical modeling and data visualization to solve complex business problems and inform strategic decisions Conducting exploratory and descriptive analysis to extract insights from large datasets and drive data-driven decision making Utilizing programming languages such as C++, R, and MATLAB to enhance data science workflows and troubleshoot algorithms Implementing machine learning and deep learning techniques, including neural networks and natural language processing, to optimize data analysis Building and maintaining data pipelines and data lakes to support efficient data mining and modeling Collaborating with AI-driven automation teams to integrate cognitive solutions into data engineering processes Validating data quality and integrity within analytics frameworks to support informed decision-making and business growth Guiding junior team members in the application of analytical thinking and complex data analysis techniques What You Must Have At least a Bachelor's degree At least 4 years of experience Oral and written proficiency in English required What Sets You Apart Proven experience in backend and data engineering Skilled in Python, PySpark, and SQL programming Hands-on experience with RESTful and GraphQL APIs Ability to develop front-end applications using ReactJS Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering Demonstrating proficiency in data engineering and data science workflows Utilizing advanced programming languages such as C++, R, and MATLAB Applying machine learning techniques and predictive modeling in complex scenarios Leveraging experience with data lakes, data pipelines, and data quality management Excelling in analytical thinking and complex data analysis Navigating AI-driven automation and cognitive solutions effectively .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.