Manager | Azure Data Engineer | Bengaluru | Engineering | Data Modernization & Migration
Deloitte AdvisoryResponsibilities
- Design, develop, and deploy data and automation solutions using Azure tools, design principles, and conventions.
- Implement Azure data warehouses, data lakes, NoSQL databases, and hybrid data scenarios.
- Develop and manage Azure Data Factory, Databricks, streaming, event-processing, and related cloud components.
- Configure, document, test, maintain, and troubleshoot robotics processes through UAT and production.
- Coordinate with process owners and business stakeholders to understand current processes and design automation workflows.
- Manage Azure DevOps pipelines and source-data access security, including authentication, authorization, and data policies.
- Manage client engagements, stakeholder relationships, delivery quality, risks, change, and execution timelines.
Requirements
- 3–10 years of hands-on experience implementing Azure cloud data warehouses, Azure and NoSQL databases, and hybrid data scenarios.
- Experience with Azure Data Factory, Azure Functions, Logic Apps, triggers, integration runtime, Databricks, PySpark, Scala, Stream Analytics, Event Hub, and HD Insight.
- Experience developing data lake and data warehouse solutions on Azure.
- Experience managing Azure DevOps pipelines and source-data access security using Vault, authentication, authorization, and data policies.
- B.Tech or B.E. in any specialization.
- Strong analytical, communication, stakeholder management, problem-solving, collaboration, and engagement delivery skills.
Benefits
- Hybrid work is the default arrangement, with the approach customized by domain.
- Pan-India base location with occasional travel to client locations.
- Opportunities for career ownership, cross-business mobility, upskilling, leadership development, and inclusive workplace support.
Tech Stack
Categories
About Deloitte Advisory
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