Data Engineering Lead

6 days ago


Princeton, New Jersey, United States Princeton University Full time
Job Title: Lead Data Engineer

Princeton University is seeking a highly skilled Lead Data Engineer to join our team. As a key member of our engineering team, you will be responsible for leading the design, implementation, and ongoing development of our data and analytics strategy.

Key Responsibilities:
  • Lead the design and implementation of our data lake solution, ensuring optimal storage, performance, and cost tracking.
  • Develop and maintain data pipelines to ingest, process, and analyze large volumes of data efficiently.
  • Design and implement scalable distributed systems for data storage and processing.
  • Optimize and tune data systems for performance and reliability.
  • Mentor junior engineering team members on day-to-day tasks.
Requirements:
  • Proficiency in Python.
  • Experience with distributed systems.
  • Strong knowledge of data storage technologies, including data lakes and data mesh architectures.
  • Familiarity with relational databases and Elasticsearch.
  • Experience tuning data systems for performance and reliability.
  • Development experience with PyTorch and TensorFlow on both CPU and GPU targets.
  • Knowledge of text processing and image processing techniques.
  • Experience with extracting data from APIs.
Qualifications:
  • A combination of relevant work experience and education that would equal 10 years of relevant work experience with a record of accomplishment.
  • Experience with web scraping is beneficial.
About Princeton University:

Princeton University is an Equal Opportunity/Affirmative Action Employer. We are committed to diversity and inclusion in the workplace.



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