Data Engineer

9 Months ago • 3 Years +
Full Stack Development

Job Description

As a Data Engineer at Nielsen, you'll collaborate with data scientists and engineers to build a data platform on AWS. This involves ingesting data from external sources, performing ETL tasks, and working with large datasets and complex schemas. You'll need experience with automation, cloud security best practices, and SQL/relational databases. Responsibilities include collaborating with product owners, implementing and testing features, performing code reviews, maintaining development environments, and building CI/CD workflows. The ideal candidate is passionate about problem-solving, continuous learning, and building new things. We offer a healthy work-life balance and an inclusive culture.
Good To Have:
  • Apache Airflow
  • Spark, EMR, Presto
  • Docker, Git
  • Agile methodologies
Must Have:
  • AWS experience (S3, RDS, EC2)
  • ETL processes and data warehousing
  • Programming (Python, Java, etc.)
  • SQL and relational databases
  • CI/CD and automation
  • Collaboration & communication
Perks:
  • Healthy work-life balance
  • Inclusive culture

Add these skills to join the top 1% applicants for this job

java
ci-cd
github
spark
cloud-security
aws
python
docker
sql
git
gitlab
data-analytics
communication
agile-development
cross-functional

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.

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future. 

As a Data Engineer, you will work alongside data scientists and engineers, to build a data platform on AWS to ingest data from external sources and perform ETL tasks. The role requires you to have experience working with large datasets with complex schemas, a can-do approach towards automation, with an emphasis on the implementation of best practice cloud security principles. Our culture is inclusive and we have a healthy work life balance. If you're passionate about problem solving, enjoy continuous learning, like building new things; we want to hear from you!

Responsibilities

    • Collaborate with product owners to understand requirements and design new components
    • Collaborate in cross-functional teams to implement, test and deploy features.
    • Perform code reviews
    • Build and maintain development environments and CI/CD workflows.

Preferred Qualifications

    • BS or MS in Computer Science.
    • 3+ years with mainstream programming languages (Python, C++, C, Java, etc.).
    • Strong knowledge of programming concepts and  paradigms.
    • Basic understanding of data lakes / data warehousing.
    • Experience with SQL and relational database systems.
    • Experience writing automated  tests.
    • Excellent communication skills.
    • Experience working in Cloud environments.
    • Experience working in an agile environment.
    • Experience with popular AWS services (S3, RDS, EC2, etc.).
    • Experience with popular developer tools (Git, Docker, Github/Gitlab).
    • Familiarity with orchestration tools such as Apache Airflow.
    • Familiarity with big data processing tools such as Spark, EMR, Presto.
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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