[New Job Vacancy] Staff Systems Engineer(Bigdata Administration) job in Visa, (Bengaluru, Karnataka) – Jobs in Bengaluru, Karnataka

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Job Opening details:-
Company Name :-
Position Name :-
Staff Systems Engineer(Bigdata Administration)
Company Location :-
Bengaluru, Karnataka
Job Category :
 General jobs

Full Job Description :-
Company Description
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.

Job Description
Essential FunctionsPerson will be responsible to Perform Big Data Administration and Engineering activities on multiple Hadoop, Kafka, Hbase and Spark clustersWork on Performance Tuning and Increase Operational efficiency on a continuous basisMonitor health of the platforms and Generate Performance Reports and Monitor and provide continuous improvementsWorking closely with development, engineering and operation teams, jointly work on key deliverables ensuring production scalability and stabilityDevelop and enhance platform best practicesEnsure the Hadoop platform can effectively meet performance & SLA requirementsResponsible for Big Data Production environment which includes Hadoop (HDFS and YARN), Hive, Spark, Livy, SOLR, Oozie, Kafka, Airflow, Nifi, Hbase etcPerform optimization, debugging and capacity planning of a Big Data clusterPerform security remediation, automation and self heal 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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.


Basic Qualifications

8+ years of work experience with a Bachelor’s Degree or an Advanced Degree
Hands on Experience in production clusters -Hadoop (HDFS and Yarn) , Hive , Spark, Kafka is must.
Prior Experience of working in Python and Ansible is a plus

Preferred Qualifications

Minimum 6 years of work experience in maintaining, optimization, issue resolution of Big Data large scale clusters, supporting Business users and Batch process.
Hands-on Experience No SQL Databases HBASE is plus
Prior Experience in Linux / Unix OS Services, Administration, Shell, awk scripting is a plus
Excellent oral and written communication and presentation skills, analytical and problem solving skills
Self-driven, Ability to work independently and as part of a team with proven track record
Experience on Hortonworks distribution or Open Source preferred
Additional Information
Work Hours:

Incumbent must make themselves available during core business hoursOccasional weekend and evening hours needed, on a rotational basis for operational support.
Travel Requirements:

This position requires the incumbent to travel for work 5 % of the time.
Physical Requirements:

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, and reach with hands and arms
Visa has adopted a COVID-19 vaccination policy. As a condition of employment, all employees based in the country where this job is located are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.

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