Finding the best job has never been easier
Share
- 4-7 years of experience performing quantitative analysis, preferably for an Internet with large, complex data sources.
- Hands-on experience on Big data technologies and frameworks. Hive, Spark, Hadoop, SQL on Big Data, Redshift
- Experience in near real time analytics
- Experience with scripting languages i.e. Python, Perl, etc.
- Experience with ETL, Data Modeling, and working with large-scale datasets. Extremely proficient in writing performant SQL working with large data volumes
- Ability to manage competing priorities simultaneously and drive projects to completion.
- Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
- Experience with large scale data processing, data structure optimization and scalability of algorithms a plus
- 3+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
These jobs might be a good fit