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Data Engineer
hace 2 meses
NielsenIQ is the world's leading consumer intelligence company, delivering the most comprehensive understanding of consumer buying behavior and revealing new pathways to growth. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NielsenIQ delivers the Full View.
NielsenIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.
Job DescriptionData Engineer Role
We are seeking a skilled Data Engineer to join our team and contribute to the development of our data strategy. As a Data Engineer, you will be responsible for designing and implementing data pipelines, addressing complex problems, and ensuring data integrity.
Key Responsibilities
- Design and implement data pipelines to meet business needs
- Develop and maintain data architecture principles
- Ensure data governance practices are followed
- Consider economic aspects related to data pipeline operability
- Maintain data integrity during reprocessing
- Understand how customer data deliveries are affected by software changes
- Familiarity with data design patterns and best practices
- Knowledge of data modeling, data schemas, and their evolution
- Awareness of data transformation design patterns
- Focus on data integrity in crafting data pipelines, including monitoring data health and state of intermediate data and alerting mechanisms
- Designing Quality Control/Validation processes / Quality Gates
Requirements
- Proficiency in Python and SQL
- Familiarity with scheduling tools like Apache Airflow
- Interest in Big Data solutions, such as Apache Spark
- Understanding of Data Engineering techniques
- Ability to maintain and extend processes and functionalities
- Knowledge of application packaging and delivery mechanisms, including CD/CI best practices and security concerns
- Ability to integrate partial solutions and RnD results into production-ready data pipelines
- Experience in building and operating infrastructure (e.g., for testing purposes)
- Ability to support operational questions for production environments
- Understanding of cloud infrastructure and services for setting up and maintaining data pipelines (e.g., AWS)
- Advising on data transformation workflow designs and optimizations focusing on cost, performance, and delivery mechanisms (streams/increments/etc.)
Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
Our Commitment to Diversity, Equity, and Inclusion
NielsenIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.