Vulnerability & Exposure Management Data Engineer

• Design and develop a solution that processes millions of data entries daily for the new Vulnerability Management Platform.
• Build and maintain scalable data pipelines (batch and real-time) to ingest high volumes of data into the data lake.
• Perform data modeling to optimize datasets and ease data consumption for stakeholders.
• Bring data analytics to production at scale, participating in architecture design.
• Collaborate with Backend and Frontend teams to implement and improve the product.
• Ensure data availability and integrity for business stakeholders.

• 5+ years of experience in Software Development and Big Data Frameworks.
• Strong proficiency in Python (must have) and advanced knowledge in PySpark.
• Experience building data processing pipelines (ELT) using tools such as Airflow, dbt, or Airbyte.
• Proficiency with Cloud data warehousing solutions (preferably STACKIT or AWS)
• Experience with relational (SQL) and non-relational databases (MongoDB, Redis); Neo4j is a plus
• Experience working in Agile environments
• Strong English communication skills and ability to work in a collaborative, international environment.
• Nice to Have: Cybersecurity and Vulnerability Management knowledge or experience.
• Nice to Have: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines (Azure DevOps, Jira).
• Nice to Have:Familiarity with monitoring and visualization tools like Azure Monitoring, Grafana, and PowerBI.
• Nice to Have: Contribution to open-source projects and a passion for learning new tools.

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