Generative AI- Data Engineer - Senior Associate at pwc

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, Azure, AWS, GCP, Databricks, Containerization, Machine Learning, Deep Learning, TensorFlow, ETL Processes, Data Pipelines, Data Privacy, Compliance, Generative AI

Industry

Professional Services

Description

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job 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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. 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. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. As part of the Data and Analytics team you will design, develop, and maintain scalable data pipelines and ETL processes for GenAI and ML projects. As a Senior Associate you will analyze complex problems, mentor junior engineers, and maintain rigorous standards while delivering resilient and scalable GenAI solutions. Responsibilities - Design and implement scalable data pipelines and ETL processes for ML projects - Analyze complex challenges and develop impactful solutions - Mentor junior engineers to enhance their technical skills - Maintain standards of quality in data engineering practices - Collaborate with teams to deliver scalable GenAI solutions - Identify opportunities for optimization in data processing - Uphold professional standards and practices in data management - Contribute to the overall success of data initiatives What You Must Have - Bachelor's Degree - 4 years of experience in data engineering - Oral and written proficiency in English required What Sets You Apart - Bachelor's Degree in Engineering, Computer Science, or related field preferred - Experience with cloud platforms: Azure, AWS, GCP, Databricks - Proficiency in Python and SQL - Hands-on experience with containerization technologies - Familiarity with data privacy and compliance regulations - Understanding of ML/DL frameworks such as TensorFlow - Experience in finance or banking domain preferred - Relevant certifications in Data Engineering preferred - Staying current with GenAI and data engineering trends Travel Requirements Not Specified Job Posting End Date Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

Design, develop, and maintain scalable data pipelines and ETL processes for Generative AI and machine learning projects. Collaborate with teams to deliver resilient solutions while mentoring junior engineers and maintaining high quality standards.