Sr Data Engineer
GlobalPoint
Sr Data Engineer
Location: Jersey City, NJ
Duration: Long Term
Must Have Skills
- 10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments
- The role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment.
- This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup.
- Given these requirements, we are looking for someone with deeper, practical experience in dbt and Airflow within Kubernetes-based, on-prem environments.
Job Summary
We are seeking a highly skilled Senior Data Engineer with 8-10+ 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:
- 8-10+ 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
- 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
- Experience running data platforms on cloud environments
- Familiarity with containerized deployments, CI/CD pipelines, and Git-based workflows
- Experience supporting financial services or accounting platforms is plus
- Exposure to enterprise system migrations (e.g.
Vacancy posted 1 day ago
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