Job listing

Python Data Engineer

  • Data science and statistical research

We are currently representing one of the world’s leading investment banks who are considered a prestigious ‘bulge bracket’ company and they run one of the most technologically advanced banking systems in the world. They are currently hiring for a Data engineer to join the existing data team and are hiring across multiple levels.

The ideal profile must fit to the high standards and requirements that the client wants from a candidate. The data team is at the frontlines of technological advancement and is responsible for building the latest investment tools and data processing software to help the company utilize their gigantic data sets.
The client’s main focus is being at the forefront of technology within the investment banking realm therefore innovation is very important to them.
Heavy investment has been thrown into their Big Data ecosystem using technologies such as Spark to augment data streaming, Hadoop to manage data clusters and other technologies such as Kafka and Storm. They are specifically looking people with experience in this field.

The hiring manager prefers to have someone who can come in and hit the ground running therefore would like the candidate to be proficient in Python. The manager himself is from a technical background therefore experience in finance isn’t necessary. The compensation package and career development potential is very impressive and at the top end of the spectrum in the industry.

Requirements:
-Multiple industrial years working with Python in high profile commerical projects.
-High amounts of knowledge of object orientated programming and constructing algorithms.
-Knowledge of big data tools and frameworks such as Apache Spark, Hadoop, Kafka and Elasticsearch.
-A USA Citizen, Resident, Green card holder or possess a valid H1B.
-Achieved a very good degree in Computer Science or related fields.

Location

San Francisco Bay Area, Dallas, New York