Security Management, Data Engineer
Summary
Build and maintain Azure-based security data pipelines and analytics platforms using Data Factory, Databricks, and SQL to centralize visibility across global security and operational tech systems.
• As a Security Data Engineer within Security Technology Services (STS), you will join a global team responsible for engineering, integrating and enhancing security data platforms that support EY’s multi-cloud and on-premises environments.
• You will develop scalable data ingestion, integration, automation and analytics capabilities that provide centralized visibility across multiple security, and operational technology platforms.
• Working across Azure, you will use modern cloud-native services and ETL frameworks to onboard, transform, enrich and analyze enterprise data.
• The role will also design and support Azure-based data pipelines, automation solutions and reporting capabilities using Azure Data Factory, Azure Databricks, Azure Functions, Logic Apps, and SQL technologies to improve operational efficiency, data quality and decision-making.
• You will support the implementation and ongoing management of SaaS applications and enterprise security technologies used by Information Security teams globally.
Requirements
- Detailed knowledge of Azure cloud data engineering, enterprise integrations, data platforms, database technologies, networking fundamentals, API-based architectures and scripting languages.
- Hands-on experience with Azure Data Factory, SQL development, ETL/ELT frameworks, data integration patterns, cloud automation and enterprise reporting solutions.
- Experience designing, supporting and troubleshooting enterprise-scale cloud data platforms, integrations and analytics solutions for operational, compliance or security use cases.
- At least 8 years of experience in Data Engineering, 3+ years of demonstrated engineering experience in large, global and virtual enterprise environments.
- Strong understanding of Azure cloud technologies, enterprise integrations, and data architecture.
- Excellent time management, organizational and decision-making skills.
Core Competencies
Demonstrates expertise in Azure Cloud Data Engineering, focusing on data ingestion, integration, and analytics to enhance security data platforms. Proficient in designing and managing enterprise-scale data pipelines and automation solutions to improve operational efficiency and decision-making.
Highest-signal resume keywords
- Azure Data Engineering
- Azure Data Factory
- ETL/ELT Frameworks
- SQL Development
- Data Integration Patterns
ATS Optimization Keywords
Hard Skills
- Data Ingestion
- Data Integration
- Cloud Automation
- Data Analytics
- Database Technologies
- API-Based Architectures
- Scripting Languages
- Enterprise Reporting Solutions
- Data Architecture
- Networking Fundamentals
Soft Skills
- Time Management
- Organizational Skills
- Decision-Making Skills
Industry Keywords
- Security Data Platforms
- Operational Technology
- Enterprise Security Technologies
- Compliance Use Cases
Tools & Technologies
- Azure Databricks
- Azure Functions
- Logic Apps