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Tech Stack
Tools & technologiesCloudDistributed SystemsHadoopHDFSKafkaPythonScalaSparkYarn
About the role
Key responsibilities & impact- Support the implementation, stabilization, and tuning of Hadoop data lake clusters (HDFS, YARN, Hive/Impala) under the guidance of senior engineers.
- Assist in diagnosing issues across the entire stack, including hardware, software, applications (Spark, NiFi), and networks.
- Participate in deep-dive analysis to optimize data processing jobs, aiming for low-latency and high-throughput performance.
- Provide dedicated support during and after migrations to ensure system reliability and prompt resolution of evolving technical challenges.
- Listen actively to customer concerns, demonstrating empathy while providing technical solutions in a 24/7 global support environment.
- Assist with onboarding deployments of Acceldata products.
Requirements
What you’ll need- 1–3 years of experience in distributed systems, cloud environments, or data management services.
- Good understanding of HDFS, YARN, and Hive/Impala. Working knowledge of Kafka, NiFi, and Cloudera Manager is a plus.
- Strong command-line skills; ability to configure and troubleshoot RedHat and Debian-based distributions.
- Experience with scripting languages such as Python, Bash, or Scala for automation and debugging.
- A Bachelor’s or Master’s degree in Computer Science or a related technical field.
Benefits
Comp & perks- Health insurance
- Professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
HadoopHDFSYARNHiveImpalaSparkNiFiKafkaPythonBash
Soft Skills
active listeningempathytechnical problem-solving