Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer with 8+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift).

This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads.

The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments.

Required Skills & Qualifications

Experience

• 8+ years of professional experience in data engineering, analytics engineering, or platform engineering roles
• Proven experience designing and supporting enterprise-scale data platforms in production environments

Must-Have Technical Skills

• Expert-level Apache Airflow (DAG design, scheduling, performance tuning)
• Expert-level DBT Core (data modeling, testing, macros, implementation)
• Strong proficiency in Python for data engineering and automation
• Deep understanding of Kubernetes and/or OpenShift in production environments
• Extensive experience with distributed workload management and performance optimization
• Strong SQL skills for complex transformations and analytics

Cloud & Platform Experience

• Experience running data platforms on cloud environments
• Familiarity with containerized deployments, CI/CD pipelines, and Git-based workflows

Preferred Qualifications

• Experience supporting financial services or accounting platforms
• Exposure to enterprise system migrations (e.g., legacy platform to modern data stack)
• Experience with data warehouses (Oracle)