Nielsen seeks a Senior AWS Support/Analytics Engineer to maintain and ensure the proper functioning of its AWS-based production system.  Responsibilities include monitoring and supporting production assets, reviewing systems, tracking AWS updates, ensuring daily delivery commitments are met per SLAs, automating manual processes, executing post-deployment impact analysis, performing data analysis from various sources (databases, S3 buckets, MDL), troubleshooting, advising on infrastructure changes, and documenting processes.  The candidate will need to be available to address production alerts and collaborate with the team.  Data analysis will involve querying SQL databases and S3 buckets, identifying anomalies and trends. Strong AWS expertise, SQL and Python programming skills, and experience with data visualization tools are essential.

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<div class="section page-centered" data-qa="job-description"><div><span style="font-size: 16px;">At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.</span></div><div><br></div><div>Seeking a strong, resourceful and committed support engineer to maintain and ensure the proper working status of our AWS-based production system and services. The candidate must have a proven record of supporting AWS-based backend systems by setting up monitoring and alerting and performing troubleshooting as needed. The candidate must have hands-on experience with analyzing large sets of data based on trending trying to pinpoint potential production issues. Creating reports from data in S3 buckets or SQL databases using queries, both on-demand and on an on-going basis is a strong requirement for the position. The candidate must demonstrate and expand the use of best practices with AWS cost control and production efficiency.</div></div><div class="section page-centered"><div><h3>Responsibilities</h3><ul class="posting-requirements plain-list"><ul><li>Monitor, maintain and support the teams production assets in AWS which includes Collections and Crediting</li><li>Perform reviews of our systems, track AWS updates and notifications, assess whether such updates impact our systems, generally ensure the health and functional order of all our nonprod, stage and production assets in AWS</li><li>As this is a large system processing large amounts of data 24x7 with daily downstream delivery contracts, ensure such daily delivery commitments are met per SLAs with NO delay or miss</li><li>Automate any manual processes or introduce new processes and best practices to ensure the proper functional order of our AWS-based production environment</li><li>Execute post deployment impact analysis and monitoring following our production releases to ensure no quality escape</li><li>Perform data analysis at the request of both our own team’s senior members as well as external stakeholders such as Product and Data Science. Such analysis will involve collecting, combining, joining multiple data sets from multiple tables coming from our databases, S3 buckets or MDL (Media Data Lake) environments and highlighting any anomalies or trend breaks</li><li>Engage appropriate members of the team (leaders, developers) when alerts are reported</li><li>Able to perform a first level of troubleshooting and analysis on problems assisting and supporting further in-depth analysis by the developers themselves</li><li>Monitor AWS systems performance and advise of any necessary infrastructure changes; ensure our assets (especially the production ones) are not impacted</li><li>Must be able to make themselves available at any time an alert in production is reported, assess severity and engage the team as needed</li><li>Document processes and procedures in RunBooks or any other type of documentation (for support and audit purposes)</li><li>Keep and maintain good records and logs of releases, upgrades, issues and actions</li></ul></ul></div></div><div class="section page-centered"><div><h3>Key Skills</h3><ul class="posting-requirements plain-list"><ul><li>Bachelor's in Computer Engineering, Science or other related technical field</li><li>At least 4 years of professional, hands-on experience in supporting and maintaining large AWS systems and services, ensuring quality and proper working order</li><li>Good knowledge of the AWS ecosystem and services</li><li>SQL programming for writing queries for data checks and analysis</li><li>Knowledge of Python programming</li><li>Knowledge of AWS security best practices, including IAM roles, security groups</li><li>Very good knowledge of AWS Monitoring, Alerting and Automation concepts and tools. Experience in both setting up and using such tools on an ongoing basis</li><li>Any prior experience in designing datasets and visualizations with tools like Superset, Grafana is a definite PLUS</li><li>Knowledge of Unix and Windows environments</li><li>Resourceful, self-starter, proactive and a team-player. Able to quickly assess possible problems and take quick decisions to protect our environment and our data. The successful candidate will own support and is expected to work independently without hand holding</li><li>Detail oriented, problem solver</li><li>Effective communication; ability to describe and explain potential or existing issues and problems efficiently and accurately. Very good writing skills</li><li>Experience working in an Agile environment (scrum teams)</li></ul></ul></div></div><div class="section page-centered" data-qa="closing-description"><div><span style="font-size: 16px">Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a&nbsp;</span><a href="http://nielsen.com/"><span style="font-size: 16px">nielsen.com</span></a><span style="font-size: 16px">&nbsp;domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @</span><a href="http://nielsen.com/"><span style="font-size: 16px">nielsen.com</span></a><span style="font-size: 16px">&nbsp;address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.</span></div></div>

Senior AWS Support/Analytics Engineer