Senior Data Engineer for Consumer Intelligence
hace 1 semana
Company Overview
NielsenIQ is the world's leading consumer intelligence company, delivering unparalleled global reach and the most comprehensive consumer insights. As a combined force with GfK, we bring together industry leaders to drive growth through advanced analytics and state-of-the-art platforms.
About NielsenIQ
We exist to count everyone and are committed to systematically embedding inclusion and diversity into all aspects of our workforce, measurement, and products. Our mission is to reflect the diversity of our clients, communities, and markets within our own workforce.
About the Role
We are seeking a senior data engineer to join our team in Data Engineering, bringing expertise and knowledge to design and implement entire data pipelines from scratch. This role involves being part of three main specialties at the data field: Data Science, Data Analytics, and Data Engineering.
Key Responsibilities
- Design and implement scalable data pipelines using Apache Airflow, Spark, and other technologies.
- Maintain and extend existing processes and functionalities, ensuring high standards of data integrity and quality.
- Develop and operate infrastructure for testing purposes, including cloud services like AWS.
- Collaborate with cross-functional teams to integrate partial solutions and RnD results into production-ready data pipelines.
- Advise on data transformation workflow designs and optimizations, considering cost, performance, and delivery mechanisms.
Requirements
- A deep understanding of data engineering techniques, application packaging, and delivery mechanisms.
- Proficiency in Python, SQL, and scheduling tools like Apache Airflow.
- Awareness of Big Data solutions, cloud infrastructure, and security concerns.
- The ability to design, implement, and maintain complex data pipelines.
- A strong understanding of data architecture, governance, and quality control/validation processes.
Benefits
As a senior data engineer at NielsenIQ, you can expect:
- Flexible working environment with volunteer time off.
- Lifetime learning opportunities through LinkedIn Learning.
- An employee-assistance program for support and well-being.
Salary Range
$150,000 - $200,000 per year, depending on experience and location.
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