A leading enterprise organization is seeking an Azure Data Engineer to support the buildout of a centralized data lakehouse environment focused on cybersecurity and enterprise data integration. This role will play a key part in designing and developing scalable data pipelines that ingest and transform large volumes of structured and unstructured data.
You will work closely with cross-functional teams including data owners, security engineering, and architecture to ensure reliable, high-performance data delivery while supporting modernization initiatives across the platform.
RESPONSIBILITIES- Design and build automated data pipelines using Azure and Databricks.
- Develop ingestion frameworks for API-based and external data sources.
- Optimize and tune pipeline performance for large-scale data processing.
- Implement and maintain data lake and lakehouse architectures.
- Collaborate with stakeholders across engineering and security teams.
- Ensure data quality, reliability, and compliance with internal standards.
- Support agile delivery cycles and sprint-based development.
QUALIFICATIONS- 3 5 years of data engineering experience.
- Strong expertise in Python, PySpark, and SQL.
- Hands-on experience with Azure Databricks.
- Experience with Azure services (Data Lake Gen2, Data Factory, APIs).
- Proven experience building pipelines using REST API data sources.
- Experience with performance tuning and optimization.
- Strong understanding of relational and/or NoSQL databases.
- Experience building APIs using Python frameworks (e.G., FastAPI).
- Strong communication and stakeholder collaboration skills.
PREFERRED EXPERIENCE- Experience in cybersecurity or security data environments.
- Familiarity with Azure Synapse or Microsoft Fabric.
- Experience with enterprise-scale data lakehouse platforms.
- Azure certifications.