Snr. Data Engineer

Key Responsibilities:

• Design, build, and maintain production-grade, event-based data pipelines capable of processing thousands of events per second in near real-time.
• Implement scalable data modeling designs and orchestration logic to transform raw event streams into optimized data models for downstream business consumption.
• Extend core data platform toolsets and manage the release, monitoring, and maintenance of production data pipelines.

Requirements & Qualifications:

• 3-5+ years of hands-on data engineering experience building production data platforms.
• Strong proficiency with Python, SQL, and PySpark.
• Solid practical experience with AWS cloud services and Lakehouse/Data Lake fundamentals.

Our Fantastic Benefits:

• Company-wide bonuses based on monthly sales targets.
• Adoption assistance, tuition reimbursement, and certification reimbursement.
• A modern, high-tech, and fun work environment.