Job Description

Job Overview

We are seeking an experienced Data Engineer with 3-5 years of experience to join our Video engineering team with Gracenote - a NielsenIQ Company. In this role, you will design, build, and maintain our data processing systems and pipelines. You will work closely with Product managers, Architects, analysts, and other stakeholders to ensure data is accessible, reliable, and optimized for Business, analytical and operational needs.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes

• Optimize data flow and collection for cross-functional teams

• Build infrastructure required for optimal extraction, transformation, and loading of data

• Ensure data quality, reliability, and integrity across all data systems

• Collaborate with data scientists and analysts to help implement models and algorithms

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc.

• Create and maintain comprehensive technical documentation

• Evaluate and integrate new data management technologies and tools

Requirements

• 3-5 years of professional experience in data engineering roles

• Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred

• Expert knowledge of SQL and experience with relational databases (e.g., PostgreSQL, Redshift, TIDB, MySQL, Oracle, Teradata)

• Extensive experience with big data technologies (e.g., Hadoop, Spark, Hive, Flink)

• Proficiency in at least one programming language such as Python, Java, or Scala

• Experience with data modeling, data warehousing, and building ETL pipelines

• Strong knowledge of data pipeline and workflow management tools (e.g., Airflow, Luigi, NiFi)

• Experience with cloud platforms (AWS, Azure, or GCP) and their data services. AWS Preferred

• Hands on Experience with building streaming pipelines with flink, Kafka, Kinesis. Flink Preferred.  

• Understanding of data governance and data security principles

• Experience with version control systems (e.g., Git) and CI/CD practices

Preferred Skills

• Experience with containerization and orchestration tools (Docker, Kubernetes)

• Basic knowledge of machine learning workflows and MLOps

• Experience with NoSQL databases (MongoDB, Cassandra, etc.)

• Familiarity with data visualization tools (Tableau, Power BI, etc.)

• Experience with real-time data processing

• Knowledge of data governance frameworks and compliance requirements (GDPR, CCPA, etc.)

• Experience with infrastructure-as-code tools (Terraform, CloudFormation)

Qualifications

Personal Qualities

• Strong problem-solving skills and attention to detail

• Excellent communication skills, both written and verbal

• Ability to work independently and as part of a team

• Proactive approach to identifying and solving problems

• Adaptability and willingness to learn new technologies

Additional Information

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.