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Job DescriptionPerson will be responsible to Perform Big Data SRE and Engineering activities on multiple Open-source Hadoop, HBASE, Spark, or KAFKA or AWS managed clustersExperience 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 stabilityEffective 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.
Qualifications1-2 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.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.