Cybersecurity Data Engineer – Cloud Security

About

Cybersecurity Data Engineer – Cloud Security
Position level: 2+ years

We are seeking a versatile and highly skilled Database and Dashboard Developer with strong expertise in extracting cloud asset data, RDBMS (e.g., Postgres, Redshift), Python, and AWS to support enterprise data engineering, analytics, and reporting initiatives. This role combines responsibilities across database development, data transformation, and business intelligence/dashboard creation, requiring a hands‑on developer who thrives in a dynamic, data‑driven environment.

The ideal candidate will design and optimize relational databases, build scalable data transformation, and develop intuitive dashboards that transform raw data into actionable insights. This position plays a critical role in ensuring data quality, accessibility, performance, and usability across the organization. The role will focus on building modern cloud infrastructure, automating deployments, enhancing security posture, and ensuring seamless collaboration across engineering teams.

Responsibilities

• Design, develop, and optimize database schemas, tables, stored procedures, and high‑performance SQL queries.
• Develop automated Python scripts and DB tools for data extraction, transformation, cleansing, and orchestration.
• Design and deliver interactive dashboards and visualizations (e.g., Grafana).
• Implement data validation, error handling, logging, and performance monitoring.
• Ensure data quality, integrity, and security in alignment with organizational and compliance standards.
• Collaborate with cross‑functional teams to analyze requirements and translate business needs into scalable data solutions.
• Architect and maintain AWS‑based data solutions such as S3, Lambda, Glue, Redshift, RDS, Athena, or Step Functions.
• Document data flows, architecture, processes, and technical specifications.
• Manage AWS services and ensure secure, scalable cloud environments.
• Develop Infrastructure as Code using Terraform or CloudFormation, and deploy through CI/CD pipelines (GitLab).

Required Technical Skills

• Strong experience with SQL and relational databases (SQL Server, Oracle, PostgreSQL, or MySQL).
• Proven ability to build and maintain data integration workflows.
• Hands‑on expertise in Python for automation, data manipulation, and API integration.
• Experience with CloudQuery (or similar tool) to extract cloud asset data (AWS, SaaS‑Security tool Wiz) into databases for security, compliance, and analytics.
• Practical experience with AWS cloud services for data engineering workloads.
• Proficiency in designing dashboards and data visualizations using enterprise BI tools.
• Understanding of data warehousing concepts, dimensional modeling, and best practices.
• Ability to troubleshoot performance issues across databases, pipelines, and BI layers.
• Strong analytical, communication, and problem‑solving skills.
• Infrastructure as Code with Terraform or CloudFormation.
• Experience with cloud security tools (e.g., Wiz).
• Excellent communication and interpersonal skills.
• Ability to collaborate effectively across diverse teams.

Preferred Qualifications

• AWS certifications (Solutions Architect, DevOps Engineer, etc.).
• Experience with the WIZ cloud security CSPM tool.