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 & QualificationsExperience8+ years of professional experience in data engineering, analytics engineering, or platform engineering rolesProven experience designing and supporting enterprise-scale data platforms in production environmentsMust-Have Technical SkillsExpert-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 automationDeep understanding of Kubernetes and/or OpenShift in production environmentsExtensive experience with distributed workload management and performance optimizationStrong SQL skills for complex transformations and analyticsCloud & Platform ExperienceExperience running data platforms on cloud environmentsFamiliarity with containerized deployments, CI/CD pipelines, and Git-based workflowsPreferred QualificationsExperience supporting financial services or accounting platformsExposure to enterprise system migrations (e.g., legacy platform to modern data stack)Experience with data warehouses (Oracle)