Senior Data Engineer - Airflow, dbt, Kubernetes/OpenShift
Akaasa Technologies
Senior Data Engineer Airflow, dbt, Kubernetes/OpenShift
Location: Jersey City, NJ - onsite
Duration: 6 months
Interview: Virtual round and final in-person
Note:
- Must be local with DL copy
- LinkedIn with location (before 2022)
- Recent or recent second project must be at the current location
Job Description
We are seeking a highly skilled Senior Data Engineer with 8+ years of hands-on experience in enterprise data engineering, with deep expertise in Apache Airflow, dbt Core, Python, SQL, Kubernetes, and OpenShift .
This role will focus on building, operating, and optimizing scalable data pipelines supporting financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads. The ideal candidate will have strong experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments.
Required Skills & Qualifications
- 10+ years of professional experience in data engineering, analytics engineering, or platform engineering.
- Proven experience designing and supporting enterprise-scale data platforms in production environments.
- Expert-level experience with Apache Airflow , including DAG design, scheduling, orchestration, and performance tuning.
- Expert-level experience with dbt Core , including data modeling, testing, macros, incremental models, and implementation.
- Strong Python skills for data engineering and automation.
- Strong SQL skills for complex transformations, analytics, and query optimization.
- Deep understanding of Kubernetes and/or OpenShift in production environments.
- Experience with distributed workload management and performance optimization.
- Experience running data platforms in cloud environments.
- Familiarity with containerized deployments, CI/CD pipelines, and Git-based workflows.
- Experience supporting financial services or accounting platforms is preferred.
- Experience with enterprise system migrations from legacy platforms to modern data stacks is preferred.
- Experience with Oracle data warehouses/databases is preferred.
Vacancy posted 2 days ago
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