Job Title:  Technology & Transformation - Engineering - Manager - Google Cloud

Job requisition ID ::  106540
Date:  Jun 17, 2026
Location:  Pune
Designation:  Manager
Entity:  Deloitte Touche Tohmatsu India LLP

Technology & Transformation - Engineering - Manager - Google Cloud 
Job requisition ID : 106540 
Location: Pune, Bangalore 
Entity: Deloitte Touche Tohmatsu India LLP. 

The Team

 

Deloitte’s Technology & Transformation: EAD: Engineering practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

 

Your work profile:

 

As a Manager in our Technology & Transformation Team, you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: -

  • Design, develop and deploy solutions using different tools, design principles and conventions.
  • Configure robotics processes and objects using core workflow principles in an efficient way; ensure they are easily maintainable and easy to understand.
  • Understand existing processes and facilitate change requirements as part of a structured change control process.
  • Solve day to day issues arising while running robotics processes and provide timely resolutions.
  • Maintain proper documentation for the solutions, test procedures and scenarios during UAT and Production phase.
  • Coordinate with process owners and business to understand the as-is process and design the automation process flow.

 

Key skills required:

 

  • GCP Services: Cloud Composer (advanced), Dataproc, GCS, Cloud Workflows, Data Fusion, Cloud SQL (SQL Server)
  • Azure Services (Good to have): Azure Data Factory, Cosmos DB, Azure SQL, ADLS
  • Languages: Python (Hands-on), PySpark, SQL, YAML, JSON
  • Databases: SQL Server
  • OS: Linux
  • Proven experience managing engineering teams.
  • Strong communication and stakeholder management abilities.
  • Experience working in Agile/Scrum environments.
  • Ability to balance hands-on development with leadership responsibilities.
  • Experience with large-scale distributed systems.
  • Strong system design and architectural thinking.

 

Qualifications:

 

  • B. E. / B. Tech / MCA / M.E / M. Tech / MSc in Computer Science.