Hadoop Developer
Arkhya Tech Inc.
- Location
- Scottsdale, US
- Workplace
- On-site
- Job type
- Full-time
- Salary
- $95k–$135k
- Posted
- 3 days ago
- Source
- DevITJobs
Requirements:
- Proven experience as a dedicated Big Data or Hadoop Developer
- Mastery of the core Hadoop ecosystem, including HDFS, YARN, MapReduce, Hive, and Oozie
- Strong proficiency with Apache Spark using Java, Scala, or Python
- Deep understanding of distributed storage, cluster performance tuning, and Linux environments
- Hands-on experience with build tools such as Maven or Gradle
- Strong understanding of distributed systems and big data architecture
- Experience with streaming frameworks such as Spark Streaming and Kafka Streams
- This on-premise role is not suited to cloud-native engineers working with AWS EMR or Glue, or Azure Synapse or ADF
Responsibilities:
- Develop and optimize data pipelines using native HDFS, MapReduce, and YARN
- Create high-performance distributed processing jobs with Apache Spark Core or SQL and Hive
- Manage cluster resource allocation, troubleshoot bottlenecks, and tune query performance at the core infrastructure level
Technologies:
- AWS
- Azure
- Big Data
- Cloud
- GCP
- Gradle
- Hadoop
- Hive
- Java
- Kafka
- Linux
- Maven
- Python
- SQL
- Scala
- Spark
- Yarn
- DevOps
More
We are hiring a Hadoop Developer for a contract role based in Scottsdale, Arizona, with onsite work required from day one. This position focuses exclusively on the core Apache Big Data ecosystem running on bare metal; it is not a cloud data engineering role, and we do not use AWS, Azure, or GCP.
last updated 43 week of 2026