Hadoop Engineer

Veriipro; Bellevue (WA); On-site; USD 110,000 - 140,000; Full time

Job summary

Veriipro is seeking an experienced Hadoop Engineer to ensure reliable, high-performing data solutions for customers. The role includes hands-on administration of Hadoop platforms, including performance tuning, and supporting cloud-based environments.

Required skills include expertise in Big Data ecosystems such as Hadoop, Kafka, and HBase, alongside strong problem-solving abilities and experience working with customers on complex issues.

Qualifications

• Hands-on expertise in Big Data ecosystems and Hadoop.
• Experience in administration, performance tuning, and cloud-based platforms.

Responsibilities

• Perform Hadoop administration and support HDInsight product teams.
• Provide end-customer support by resolving incidents and ICMs.
• Run prototypes and migrate Big Data workloads.
• Optimize and tune performance for Spark, Hive, and Hadoop jobs.
• Troubleshoot production issues, identify root causes, and implement mitigations.
• Build tools and services to improve debuggability and supportability.
• Monitor cluster health and ensure availability for top customers.
• Collaborate with internal teams to improve processes and operational efficiency.

Skills

Big Data and Hadoop Ecosystem (HDFS, Hive, Spark, YARN)

Kafka for real-time data streaming

HBase for NoSQL data management

Cloud Era, AWS

Job description

We are seeking an experienced Hadoop Engineer with hands‑on expertise in Big Data ecosystems, including Hadoop, Kafka, and HBase. The role involves administration, performance tuning, and supporting cloud‑based Hadoop platforms to ensure reliable, high‑performing data solutions for customers.

Required Technical / Functional Skills

• Big Data and Hadoop Ecosystem (HDFS, Hive, Spark, YARN)
• Kafka for real‑time data streaming
• HBase for NoSQL data management
• Experience with Cloud Era, AWS, and Hortonworks HDP/HDInsight

Roles & Responsibilities

• Perform Hadoop administration and support HDInsight product teams.
• Provide end‑customer support by resolving incidents and ICMs.
• Run prototypes and migrate Big Data workloads.
• Optimize and tune performance for Spark, Hive, and Hadoop jobs.
• Troubleshoot production issues, identify root causes, and implement mitigations.
• Build tools and services to improve debuggability and supportability.
• Monitor cluster health and ensure availability for top customers.
• Collaborate with internal teams to improve processes and operational efficiency.

Preferred Skills

• Strong problem‑solving and analytical skills.
• Experience with cloud‑based Big Data deployments and cluster management.
• Ability to work closely with product and customer teams to resolve complex issues.