SENIOR SITE RELIABILITY ENGINEER (BIG DATA)- KOCHI
Kochi, India
Nielsen
A global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch.
Nielsen Media would not function without our Technology teams! We are catalysts for delivery quality, on-time, reliable measurements to clients, and we are cultivators, growing our employees through education, skill building and experiences. Around the globe, our Technology teams are relentless in our pursuit of superior analytics, technology, process and support.
ABOUT THE ROLE
Nielsen Marketing Effectiveness uses cutting edge technology and industry-leading data science to tackle some of the hardest problems in marketing science. We empower advertisers, publishers, and agencies with the intelligence they need to drive revenue, increase market share, and optimize their audiences and investments.
As a member of our Site Reliability Engineering Team, you will build a Reliable, Secure & Scalable Cloud & On-Premise Infrastructure that will run Big Data Workflow and Client Facing Applications. With their expertise and experience in building out Cloud and Data Center leveraging Infrastructure as Code, you will be closely working with projects during the Development and Operational phases.
About Nielsen:As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth.
ABOUT THE ROLE
Nielsen Marketing Effectiveness uses cutting edge technology and industry-leading data science to tackle some of the hardest problems in marketing science. We empower advertisers, publishers, and agencies with the intelligence they need to drive revenue, increase market share, and optimize their audiences and investments.
As a member of our Site Reliability Engineering Team, you will build a Reliable, Secure & Scalable Cloud & On-Premise Infrastructure that will run Big Data Workflow and Client Facing Applications. With their expertise and experience in building out Cloud and Data Center leveraging Infrastructure as Code, you will be closely working with projects during the Development and Operational phases.
ROLE DETAILS
- Build and operate Big Data Systems and Processes that include Hadoop and Yellow Brick
- Build and operate DB Systems like PostgreSQL, DynamoDB
- Set up and document operational procedures (maintenance, user administration, etc)
- specific to the operation of the Big Data Systems and Databases in a shared application
- environment.
- Provide technical guidance to the Information Systems team in the investigation, analysis
- and resolution of database problems.
- Provide security configuration and setup recommendations. Work with Security Experts to
- address vulnerabilities and security concerns.
- Strong knowledge in relational databases, Database development using SQL, Shell scripts
- or Perl
- Deploying and maintaining infrastructure as code / containerised infrastructure
- Contribute to the migration of traditional Infrastructure assets to Infrastructure as code
- Support the release flow from development to production. Manage environments using
- CI/CD tools and methodologies.
- Participate in On-call support. Provide first line technical support of multiple production
- and non-production environments. Assist in ensuring global availability of all services.
- Provide leadership / Mentorship for junior SRE
QUALIFICATIONS & SKILLS
- Bachelor / Masters in Engineering
- 8-12 years Managing Big Data Systems, Cloud & Product deployment
- Exposure to Hadoop, MySQL, Postgres, AWS, Docker / Kubernetes, Shell Scripting, Python,
- Chef / Puppet / Ansible, CloudFormation / Terraform,
- Excellent communication skills.
About Nielsen:As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth.
Tags: Ansible AWS Big Data CI/CD Docker DynamoDB Engineering Hadoop Kubernetes MySQL Perl PostgreSQL Python RDBMS Research Security SQL Streaming Terraform
Region:
Asia/Pacific
Country:
India
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