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 prospects 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 productive 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:
Understanding of finance systems and processes (fund accounting, private credit)
Advanced SQL and database experience
Hands-on experience with DBT & Big Query
Knowledge of Data Mesh / domain-oriented architecture
Data modelling expertise (dimensional modelling)
Experience with BI tools (Looker, Power BI, Excel)
Robust analytical and business acumen
Knowledge of data governance and CDMC controls
Data quality management practices.
Qualifications:
B. E. / B. Tech / MCA / M.E / M. Tech / MSc in Computer Science.