Sr System Engineer /Big Data Engineer

  • Austin, TX, USA
  • Full-time

Company Description

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

Job Description

Essential Functions

  • Person will be responsible to Perform Big Data  Administration and Engineering activities on  multiple Hadoop, Kafka, Hbase and Spark clusters
  •  Work on Performance  Tuning and Increase Operational efficiency on a continuous basis
  • Monitor health of the platforms and Generate Performance Reports and Monitor and provide continuous improvements  
  • Working closely with development, engineering and operation teams, jointly work on key deliverables ensuring production scalability and stability  
  • Develop and enhance platform best practices
  • Ensure the Hadoop platform can effectively meet performance & SLA  requirements 
  • Responsible for Big Data Production environment  which includes  Hadoop (HDFS and YARN), Hive, Spark, Livy,  SOLR, Oozie, Kafka, Airflow,Nifi, Hbase etc 
  • Perform optimization, debugging  and capacity planning of a Big Data cluster
  • Perform security remediation, automation and self heal as per the requirement

Qualifications

Basic Qualifications

  • 2 years of work experience with a Bachelor’s Degree or an Advanced Degree
  • Hands on Experience in Hadoop(HDFS and Yarn) , Hive ,Spark, Kafka is must.

Preferred Qualifications

  • Minimum 3 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 hours
  • Occasional 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 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.

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