Staff Analytics Engineer

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Requirements:

• Experience in data engineering, analytics engineering, or a similar role, preferably in the cybersecurity or tech industry.
• Proficiency with SQL and experience working with relational databases and data warehouses.
• Familiarity with Python for data processing.
• Experience with Kimball data modeling and designing scalable data architectures.
• Excellent communication skills and the ability to collaborate with cross-functional teams.
• Strong problem-solving skills, attention to detail, and a proactive mindset.
• Strong proficiency with AWS Cloud Services (S3, Redshift, EC2, Lambda, RDS, etc.).
• Experience with Terraform or CloudFormation for infrastructure as code in AWS.
• Familiarity with CI/CD pipelines for automated data workflow deployment.
• Experience working in an Agile environment.

Responsibilities:

• Design and build scalable, reliable, and efficient ETL pipelines to process and transform data from various sources.
• Collaborate with data scientists and analysts to ensure data is easily accessible, clean, and enriched for downstream analysis.
• Develop and maintain the company's data warehouse and analytics infrastructure using best practices.
• Partner with engineering teams to create and maintain data models that power key business metrics.
• Contribute to data strategy focusing on quality, governance, and compliance.
• Lead monitoring and alerting on data pipelines.
• Optimize data system performance, reducing query times and ensuring data availability.
• Mentor and provide technical guidance to junior analytics engineers.