What are the responsibilities and job description for the Apache Spark / Big Data Administrator position at Envision Technology Solutions?
Hi,
Hope you are doing well.
We have the below requirement with my client, please let me know if you are looking for a job.
Role : Apache Spark / Big Data Administrator
Location : Berkley Heights, NJ
Work Type: 5 days a week at client office
Job Description
Saurabh Kumar
Team Lead – Recruitment
Envision Technology Solutions
Direct Number 1 704 745 4743
Email: saurabh.kumar@envisiontechsol.com
Hope you are doing well.
We have the below requirement with my client, please let me know if you are looking for a job.
Role : Apache Spark / Big Data Administrator
Location : Berkley Heights, NJ
Work Type: 5 days a week at client office
Job Description
- 10 years solid experience with deploying, configuring, monitoring, and troubleshooting Apache Spark clusters and associated big data frameworks (such as Hadoop, Kafka, or cloud-based data platforms) to ensure high availability and performance.
- Focuses on cluster health, performance tuning, and production data pipelines.
- Technical Experience: Deep hands-on experience with Apache Spark architecture (Driver, Workers, Executors, RDDs/DataFrames) and cluster managers (YARN, Kubernetes, or Mesos).
- OS & Scripting: Strong proficiency in Linux/Unix administration and scripting languages (Bash, Python, or Scala).
- Ecosystem Knowledge: Familiarity with big data and streaming tools like Hadoop HDFS, Kafka, Hive, or monitoring suites (Splunk, Prometheus, Grafana).
- Debugging Skills: Strong analytical capabilities to inspect logs, thread dumps, and metrics under heavy production loads
- Excellent coordination with stakeholders and communication skills
- Cluster Management: Install, configure, and maintain Apache Spark clusters and node infrastructure in production and staging environments.
- Performance & Monitoring: Monitor cluster health, resource utilization (CPU, memory), and execution logs using tools like Spark UI, Splunk, or Elastic. Identify bottlenecks and optimize job execution times.
- Troubleshooting: Diagnose and resolve out-of-memory errors, executor failures, shuffle issues, and node crashes in distributed workloads.
- Pipeline & Integration Support: Support data engineers and developers in managing Spark applications, streaming jobs, and integrations with message brokers like Kafka.
- Security & Access Control: Implement security principles, role-based access control, authentication, and data encryption across the cluster.
- Backup & Disaster Recovery: Execute backup, recovery, and failover plans for Spark applications, configurations, and critical data stores.
Saurabh Kumar
Team Lead – Recruitment
Envision Technology Solutions
Direct Number 1 704 745 4743
Email: saurabh.kumar@envisiontechsol.com