Job Title: Technology & Transformation - Engineering - Consultant - Azure Data Engineer
Consultant | Azure Data Engineer | Pan India | Engineering
- Job requisition ID: 102757
- Location: Pan India
- 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.
As a Consultant 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:
- 3-5 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, Logic Apps, 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.
- UG: B. Tech /B.E. in Any Specialization.
- Hybrid is our default way of working. Each domain has customized the hybrid approach to their unique needs.