Manager-Engineering
Job Summary
Job Description
14 skills required
Job Details
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.
ABOUT THE ROLE
We are looking for an experienced and hands-on Engineering Manager to join our data team which provides a spectrum of services and expertise to all business verticals within Gracenote. This person will collaborate with other engineering team leaders, Data Engineers, DBAs, DevOps Engineers, Security professionals and Data Science team members, to architect, build, and deploy the data platform & related solutions on which our entertainment metadata pipelines thrive and which servers our marquee customers like Amazon, Comcast, Google, Samsung, LG and Sony to name a few.
KEY RESPONSIBILITIES
- Set a high technical standard, and guide your team to consistently achieve a high level of technical excellence through coaching, mentoring, training, and reviewing design documents and high-impact pull requests.
- Inspire and grow your team through thoughtful career planning and coaching. Give your team challenges to which they’re excited to rise. Provide mentorship, sponsorship, empowerment, feedback, clear expectations, and recognition of a job well done.
- Help the team do its best work by managing and continuously improving our SDLC and other team processes.
- Architect and build scalable, resilient and cost-effective software and teams to support complex data pipelines and products.
- Collaborate with Data Science to understand, translate, and integrate methodologies into engineering build pipelines.
- Partner with product owners to translate complex business requirements into technical solutions, imparting design and architecture guidance.
- Stay informed about the latest technologies and methodologies by participating in industry forums, having an active peer network, and engaging actively with customers.
- Cultivate a team environment focused on continuous learning, where innovative technologies are developed and refined through teamwork.
QUALIFICATIONS & SKILLS
- Bachelor’s degree in computer science, information technology, engineering (any) , mathematics or a related field and 8+ years of progressively responsible, post-baccalaureate experience in software development .
- 5+ years Software Engineering experience with programming languages such as Java/Kotlin, Scala, Python and Unix Shell.
- Demonstrated understanding and experience with big data tools such as Kafka, Apache Spark and Trino/Presto and best practices related to data cataloging, governance and quality.
- You have a strong technical background and You’ve led (and ideally managed) teams that have designed and shipped high-impact, data intensive, high-value SaaS and/or enterprise software.
- You believe that well-structured code, comprehensive testing, and solid engineering methodology are a must. You know how to teach those values (and the requisite skills) to new engineers.
- Experience in developing high-level architecture design of current and future state solution based on business requirements and value propositions.
- Have a strong focus on delivering high quality software products and test automation.
- Proactive and able to deliver on initiatives that you start.
- Ready to roll up your sleeves and contribute along with the team as needed.
- Experience with orchestration tools such as Airflow.
- Experience with API development and best practices.
- Comfortable using Docker and Kubernetes for container management.
- DevOps experience deploying and tuning the applications you’ve built.
- Monitoring tools such as Datadog, Prometheus, Grafana, Cloudwatch.
ABOUT NIELSEN
By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas, and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and act. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!
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 nielsen.com 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 @nielsen.com 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.
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