- Experience
- 1 – 3 years
- Pay
- Not disclosed
- Education
- Bachelor's or Master's degree in Computer Science or a related technical field
- Location
- Bengaluru, India
- Work mode
- Hybrid
- Job type
- Full-time
About this role
Acceldata sells a data observability platform used by large enterprises. This junior support role focuses on keeping customers' Hadoop-based data lakes healthy, helping with migrations and performance tuning, and troubleshooting issues for a global customer base.
What you will do
- Support implementation and tuning of Hadoop data lake clusters
- Diagnose issues across hardware, software, applications and networks
- Analyze and optimize data processing job performance
- Support customers during and after migrations
- Handle customer concerns in a 24/7 global support setup
- Assist with onboarding deployments of Acceldata products
What the employer expects
- 1-3 years in distributed systems, cloud or data management
- Understanding of HDFS, YARN and Hive/Impala
- Strong Linux command-line skills on RedHat and Debian-based systems
- Scripting in Python, Bash or Scala
- Bachelor's or Master's in Computer Science or related field
- Willingness to work rotational shifts
Skills
- Hadoop
- HDFS
- YARN
- Hive
- Impala
- Spark
- NiFi
- Kafka
- Linux
- Python
Apply on the employer's site
The application opens on Acceldata careers page (Lever). Dev Portal Notes does not collect your application or charge a fee.
Know someone who fits this role?
Applications are handled on the employer's own site.
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