Job Summary

The Security Data Engineer partners closely across the Security Technology Services organization and Information Security to support and management of Security products and services. This includes analytics and reporting, service reviews, service improvements, service transition, introduction and readiness, and other activities as identified pertaining to end-to-end service management of internal security technology offerings.

Your key responsibilities

- Design, develop, and maintain robust data pipelines to process and analyze large datasets.
- Utilize SQL for data extraction, transformation, and loading (ETL) processes.
- Work with Data Bricks and Data Lake technologies to manage and optimize data storage and processing.
- Collaborate with security teams to understand data requirements and integrate data from various security tools.
- Create and maintain documentation for data pipelines, processes, and workflows.
- Monitor and troubleshoot data pipeline performance and data quality issues.
- Develop data models and visualizations to present security insights to stakeholders.
- Stay updated with industry trends and best practices in data engineering and security analytics.

Skills and attributes for success
- Conceptual knowledge of security applications and technologies, as well as operating system platforms including Cloud technologies
- Proven experience as a Data Engineer or in a similar role.
- Strong proficiency in SQL and experience with data manipulation and querying.
- Hands-on experience with Data Bricks and Data Lake technologies.
- Familiarity with security tools and frameworks for data extraction.
- Knowledge of data modelling, ETL processes, and data warehousing concepts.




- Excellent problem-solving skills and attention to detail.
- Proficiency in Azure Cloud services, with a strong understanding of Azure security tools such as Azure Security Center, Azure Monitor, and Azure Sentinel
- Build and maintain strong relationships across all levels of a matrixed, geographically and culturally dispersed organization

To qualify for the role you must have
- Degree in Computer Science or related discipline, or equivalent work experience
- 7-10 years working within Information Technology in a global firm
- Knowledge of Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Notebooks, PySpark, Spark SQL
- Working knowledge of data analysis programming or scripting languages, such as Python (with libraries like pandas, NumPy) or PowerShell
- Experience with Azure SQL and database management systems for data extraction, transformation, and loading (ETL) processes.
- Certifications in data visualization or analytics platforms.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
- Knowledge of programming languages such as Python or Scala.
- Familiarity with data visualization tools (e.g. Power BI, Tableau).

What we look for
- Critical thinking skills demonstrating analytical and systematic approach to problem solving
- Experience working in a global virtual environment
- Excellent interpersonal, communication and presentation skills
- Valuable judgment, tact, and decision-making ability
- Ability to understand and integrate cultural differences and motives and to work with cross cultural teams.
- Ability to deal with ambiguity and change, and exercise appropriate time management to meet deadlines
- Ability to work autonomously but also within a team environment where necessary

📌 Security Data Engineer (Bengaluru)
🏢 EY
📍 Bengaluru