We Are
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and, Interactive, Technology, and Operations services, all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 738,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. Visit us at www.accenture.com. 
The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.
With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
The Work
Join us in a thrilling journey where you will be an SME in Mainframes Modernization on GCP, collaborate and manage the team to perform, engage with multiple teams, and contribute on key decisions. Responsible for team decisions, you will provide solutions to problems for your immediate team and across multiple teams. Embrace this opportunity to make a significant impact! Develop reusable workflows for data engineering tasks; build scalable data pipelines using ETL tools; deploy data solutions to production environments.
Key Areas of Expertise:
As a Mainframe Modernization We are looking for an experienced expert to manage modernization design, build and test for mainframe jobs. We are looking for expertise of mainframe db2 Data Migration to move large multi country dataset from on premise legacy Teradata to Google Big Query. The lead is expected to manage team of 5-10 members to complete delivery of mainframe data engineering pipeline modernization by repointing it from legacy Teradata to Google Cloud Big Query.