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Person will be responsible to Perform Big Data SRE and Engineering activities on multiple Open-source Hadoop, HBASE and Spark clusters

Strong Troubleshooting and debugging skills.

Responsible for Big Data Production environment which includes Hadoop (HDFS and YARN), Hive, Spark, Livy, Hbase, Trino etc

Experience on Cloud platform and Kubernetes is a plus.

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 .

Identify and implement HA solution for services with SPOF.

Plan and perform capacity expansion and upgrades in timely manner avoiding any scaling issues and bugs.

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.

leverage Devops tools, disciplines( Incident, problem and change management) and standards in day to operations.

Ensure the Hadoop platform can effectively meet performance and SLA requirements.

Perform security remediation, automation and selfheal as per the requirement.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Basic Qualifications
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications
3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
Hands on experience working as a Hadoop SRE in managing Hadoop platforms.
Experience in building, managing and tuning performance of Hadoop platforms.
Extensive knowledge on Hadoop eco-system such as Zookeeper, HDFS, Yarn, HIVE and SPARK.
Excellent Python programming skills for automation requirement for repetitive dev-ops tasks
Person will be responsible to perform SRE and Engineering activities on Bigdata Hadoop and HBASE platforms
Understanding of security tools like Kerberos and Ranger.
Experience on Hortonworks distribution or Open Source are preferred.
Hands-on experience in debugging Hadoop issues both on platform and applications.
understanding of Linux, networking, CPU, memory and storage.
Knowledge on Java and Python is good to have.
Excellent interpersonal, verbal, and written communication skills.
This position is not ideal for a Hadoop developer.

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.