What are the responsibilities and job description for the Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Jersey City, NJ 3 days a week in the office. position at CogniSoft Technologies?
***FAKE AI GENERATED RESUMES WILL NOT BE CONSIDERED***
Location: Jersey City, NJ, Hybrid 3 days a week in the office is a MUST
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.
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.
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.
Salary : $65