VI
Job Description
- Person will be responsible to Perform Big Data SRE and Engineering activities on multiple Open-source Hadoop, HBASE, Spark, or KAFKA or AWS managed clusters
- Experience on Cloud platform preferably AWS.
- Cross-team teamwork, build and maintain relationships with the customer teams, the user community, architects and engineering teams jointly work on key deliverables ensuring production scalability and stability
- Effective Root cause analysis of major production incidents and developing learning documentation.
- Automation of repetitive tasks to reduce manual effort and avoid Human errors.
- Tune alerting and setup observability to proactively identify the issues and performance problems.
- Work closely with L-3 teams in reviewing new use cases, cluster hardening techniques for building a robust and reliable platforms.
- Ensure the platform can effectively meet performance and SLA requirements.
- This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
- 1-2 years of relevant work experience and a Bachelor's degree.
- Hands on experience working as a Hadoop or KAFKA or AWS SRE.
- Experience in building, managing and tuning performance of Hadoop, Kafka or AWS platforms particularly in the areas of MSK, EMR.
- Experience on Hortonworks distribution or Open Source are preferred
- Excellent Python programming skills for automation requirement for repetitive dev-ops tasks
- Understanding of Linux, networking, CPU, memory and storage.
- Excellent interpersonal, verbal, and written communication skills.
