Senior Data Engineer
Job Description
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).
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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.
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The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments.
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Required Skills & Qualifications:
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Experience
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- 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
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Must-Have Technical Skills
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- 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
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Cloud & Platform Experience
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- Experience running data platforms on cloud environments
- Familiarity with containerized deployments, CI/CD pipelines, and Git-based workflows
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Preferred Qualifications
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- 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)
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