Hadoop Engineer Apex Systems Chicago
Overview
We seek a Hadoop Engineer to support NextGen Platforms built around Big Data technologies. The ideal candidate will have experience in the cluster management of vendor-based Hadoop and Data Science products. This role involves participation in the full life cycle of an application within an agile development process and requires the ability to develop, engineer, and ship solutions. It is a hybrid position located in Chicago and Charlotte NC lasting three months.
What You'll Do8
- 1Design and implement scalable Hadoop cluster configurations using Kubernetes and AWS services
- 2Lead the development of ETL pipelines utilizing Spark and Airflow
- 3Optimize data processing workflows through debugging and performance tuning
- 4Drive the migration of legacy systems to modernized cloud architectures
- 5Collaborate with cross-functional teams to define technical specifications
- 6Own end-to-end delivery of data engineering features within sprint cycles
- 7Implement monitoring solutions for cluster health and data integrity
- 8Mentor junior engineers on best practices for big data infrastructure
Requirements5
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading production data platforms
- 3AWS Certified Solutions Architect associate level
- 45+ years experience with Hadoop ecosystem components
- 52+ years working with Kubernetes orchestration
Salary Insight
$146 - $152k per year
Location
Required Skills
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