Senior Data Engineer Seattle AWS Spark Airflow
Overview
Design and lead scalable data pipelines for large-scale analytics. Own ETL processes using Python and Spark. Scale infrastructure on AWS. Drive performance improvements. Differentiate by leading cross-functional teams.
What You'll Do9
- 1Build robust ETL pipelines using Python and Spark
- 2Design and implement data warehousing solutions on AWS
- 3Lead Kubernetes clusters for data processing
- 4Ship real-time data streaming architectures
- 5Debug complex data issues across distributed systems
- 6Drive optimization of data ingestion workflows
- 7Scale cloud storage solutions using AWS services
- 8Own and maintain React dashboards for data visualization
- 9Collaborate with stakeholders to define data requirements
Requirements6
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons of experience in cloud data engineering
- 35+ years building ETL pipelines with Spark and Airflow
- 43-5 seasons implementing Kubernetes clusters
- 5BPM certification preferred
- 6AWS Certified professional experience required
Salary Insight
Salary not disclosed in listing
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