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 Job Description & 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 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:    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   • Ensure data quality, reliability, lineage, observability, governance, and operational readiness   • Collaborate with data scientists, analysts, architects, and business teams to support analytics, reporting, and AI/ML workloads   • Implement secure access patterns using IAM, service accounts, encryption, and enterprise compliance standards   • Provide production support, troubleshoot pipeline failures, and resolve performance bottlenecks   • Document technical designs, data flows, operational procedures, and runbooks   • Mentor junior engineers and contribute to engineering best practices for GCP data platforms   Mandatory skill sets:     4+ years of experience as a Data Engineer with strong hands-on Google Cloud Platform expertise   • Strong experience with BigQuery , GoogleSQL / SQL, and data warehousing concepts   • Hands-on