Senior Data Engineer

Exol provides automated warehouse-as-a-service operations. The Senior Data Engineer will design, build, and scale a cloud-native, multi-tenant data platform, delivering reusable data services, pipelines, and platform capabilities for analytics, customer products, and AI-driven solutions.

Responsibilities:

• Design and enhance a scalable, cloud-native, multi-tenant data platform
• Build and optimize batch and streaming data pipelines, transformation models, and reusable data services
• Develop scalable data models using BigQuery and dbt while implementing data quality, governance, lineage, and monitoring practices
• Create Infrastructure as Code using Terraform and maintain CI/CD pipelines using GitHub Actions or similar tools
• Implement automated testing, deployment, release, observability, logging, and alerting capabilities
• Monitor platform health, troubleshoot production issues, and drive improvements in scalability, reliability, and operational performance
• Partner with Product, Engineering, AI, and Analytics teams while contributing to architecture reviews, technical documentation, engineering standards, and team mentorship

Requirements:

• Minimum of 8 years of related experience or equivalent work experience
• Bachelor's degree in computer science, Engineering, Information Systems, or a related field
• Experience designing and building cloud-native data solutions using Google Cloud Platform, BigQuery, and dbt
• Strong SQL and Python skills, with experience working with PostgreSQL or other relational databases
• Experience developing scalable batch and streaming data pipelines using Apache Airflow or Cloud Composer
• Experience implementing Infrastructure as Code with Terraform and building CI/CD pipelines
• Experience with technologies such as Pub/Sub, Datastream, Dataflow, Cloud Storage, Cloud Functions, Cloud Run, Kubernetes, or Docker