IN_Manager_ Data Engineer GCP_Data And Analytics_Advisory_Bangalore

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Manager

& 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 artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Why PWCAt 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 firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

& Summary: We are seeking an experienced Data Engineer – GCP to design, build, and operate scalable, reliable, and cost-efficient data pipelines on Google Cloud Platform. The role involves hands-on development using BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, Cloud Storage, Python, SQL, and related GCP-native services, along with close collaboration with analytics, AI/ML, architecture, and business teams.Responsibilities:• Design, build, and maintain end-to-end batch and streaming data pipelines on Google Cloud Platform• Develop scalable data processing solutions using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage• Build and optimize Cloud Composer / Airflow DAGs for orchestration, scheduling, retries, and dependency management• Ingest, transform, and curate large-scale structured, semi-structured, and streaming datasets• Develop reusable ETL/ELT frameworks using Python, SQL, Apache Beam, and Spark / PySpark where applicable• Implement BigQuery performance and cost optimization through partitioning, clustering, query tuning, and data model improvements

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Artificial Intelligence (AI), Machine Learning

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility + 30 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
May 15, 2026