Associate Data Warehouse Engineer

Babel Street

Babel Street is known for providing superior AI and data analytics solutions focusing on identity intelligence and risk management. This role, situated within a dynamic team, involves creating and enhancing data warehouse solutions that support critical decisions across various international offices, with a primary focus in the US.

In this role you can expect to have the responsibilities:

• Design and maintain scalable data warehouse solutions using Google BigQuery.
• Create data models that support business and analytics needs.
• Collaborate with stakeholders to translate needs into data models.
• Ensure data consistency across data marts and views.
• Optimize data warehouse performance through best practices.
• Implement data governance and security controls.
• Manage Looker dashboards and reports for actionable data presentation.
• Stay informed on trends in data warehousing and cloud computing.

This role comes with the following benefits:

• Comprehensive health benefits covering 90-100% premiums.
• Competitive 401(K) retirement plans.
• Unlimited flexible leave for work-life balance.
• 12 paid Federal Holidays annually.
• Tuition reimbursement for continuous education.

This role requires you to have:

• Strong SQL skills and data modeling proficiency.
• Knowledge of Python, Java, or Scala for data pipelines.
• Understanding of data warehousing concepts like OLAP and ETL.
• Problem-solving skills focused on data quality and performance.
• Experience with Git for version control.

You would benefit from having:

Babel Street is committed to equal opportunity employment and provides reasonable accommodations for protected disabilities. It observes pay transparency nondiscrimination and other legal requirements regarding employment practices.