Technology & Transformation - Engineering Senior Consultant Azure Data Engineer
Job requisition ID: 108124
Location: Bengaluru
¢ Entity: Deloitte Touche Tohmatsu India LLP
The Team

Deloittes Technology & Transformation 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 Senior Consultant/Manager in our T&T; Team youll 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 effective 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.

Skills

- 5-15 Years of hands-on experience Implementing Azure Cloud data warehouses, Azure and No-SQL databases and hybrid data scenarios.
- Experience developing Azure Data Factory (covering Azure Functions, LogicApps, Triggers, IR), Databricks (pySpark, Scala), Stream Analytics, Event Hub & HD Insight Components
- Experience in working on data lake & DW solutions on Azure.
- Experience managing Azure DevOps pipelines (CI/CD)
- Experience managing source data access security, using Vault, configuring authentication and authorization, enforcing data policies and standards.

Qualifications:

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

📌 Azure Data Engineer (Pune)
🏢 Deloitte Shared Services India
📍 Pune