Data Engineering Lead
6 days ago
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.
- 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.
- 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.
Princeton University is an Equal Opportunity/Affirmative Action Employer. We are committed to diversity and inclusion in the workplace.
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Data Transformation Lead Engineer
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Data Centre Operations Lead
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