Required Technical / Functional Skills

• 3–5 years of experience in data engineering or analytics roles.
• Strong proficiency in Snowflake and Power BI.
• Experience with AWS data lake architecture and services (e.g., S3, Glue, Lake Formation).
• Familiarity with information security metrics and reporting frameworks.
• Solid understanding of ETL/ELT processes and data modeling best practices.
• Experience with scripting languages (e.g., Python) for data manipulation and automation.
• Exposure to security tools and log sources (e.g., SIEM, CSPM, vulnerability scanners).
• Knowledge of data privacy and compliance standards (e.g., GDPR, SOC 2).
• Experience with CI/CD pipelines and version control (e.g., Git).

Roles & Responsibilities

• Design and implement data pipelines in Snowflake to ingest, transform, and model security-related data.
• Integrate data from AWS services (S3, Glue, Athena, Redshift) into centralized analytics platforms.
• Develop and maintain Power BI dashboards to visualize security KPIs, compliance metrics, and operational trends.
• Collaborate with security, cloud, and data teams to define data requirements and ensure data quality.
• Automate data workflows and optimize performance across cloud-based analytics environments.
• Support data governance and ensure secure handling of sensitive information.

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