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Responsibilities
Join NielsenIQ as a Data Engineer, working with technologies like Spark, Python, Databricks, Airflow, SQL, Docker, and Kubernetes.Responsible for maintaining and assembling data pipelines, integrating models, optimizing Spark code, and building infrastructure for data extraction and transformation.Requirements:5-8 years of experience as a Data Engineer with hands-on experience in data modeling and manipulation.Proficient in Spark (Python/Scala), SQL, and building data pipelines using Apache Spark and Airflow.Knowledge of Data Warehousing concepts and experience with CI/CD & DevSecOps is a plus.Team-oriented with strong collaboration and adaptability skills; ability to write efficient code.Benefits:Flexible working environment.Volunteer time off, LinkedIn Learning, and Employee-Assistance-Program (EAP).
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