Senior Data Engineer - Scale Data Pipelines & AI
Elsevier
Elsevier is seeking a Senior Data Engineer to design, build, and operate scalable data pipelines powering Scopus, ScienceDirect, and AI-driven research solutions. You will work hands-on and guide other engineers while ensuring reliable batch and ELT workflows.
Required skills include Python, Java, Spark, SQL, and Airflow; experience with data lakes, distributed systems, and AWS is valued. Flexible hours and collaborative culture are emphasized.
#J-18808-LjbffrReference: WJ-766_22008620