Top 5 must haves: Senior Level
- Python
- Airflow/DBT
- Communication, both written & Verbal
- Kubernetes
Manager Notes: The role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment.
If background is predominantly on Google Cloud Platform, and while this is valuable, we are currently more conservative with cloud-native platforms. 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.
Required Skills & Qualifications:
Experience
- 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
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)
