Big Data/ Data Analysis Tools Engineer
Strom Power, LLCAbout the company
- Offer expired 19 days ago
- Remote recruitment
- contract of employment, B2B contract
- specialist (Mid / Regular)
Improve the productivity, support and add functionalities to python tools and an excel tool (VBA/store procedures) that our Electrical Engineers use to make analysis on our 700GB database. The goal of these analyses is to decide which financial contracts to buy and which to sell.
In the medium term, help in migrating our growing number of python and excel functionalities to the web application environment (Django and MySQL architecture), creating new, and providing support for those web applications that are mostly involved in analyzing and displaying aggregated large amounts of data.
These tools are used by a growing team of analysts to make trading decisions on the US electricity financial market.
Assistance in maintaining / managing and developing +700GB database (MySQL). Possibility, if proved relevant, to introduce machine learning to our current python tools to improve their precision and efficiency.
We work in a cloud AWS environment.
Must work Full-time and in our Warsaw office
Good knowledge of SQL and databases (MySQL preferred)
Ability to work in a team
Motivation and willingness to learn
Good organization of work
knowledge of electrical engineering / energy
bachelor's degree in engineering
good command of the English language
What we offer
Salary 7000 PLN + bonus end of the year if goals are met or if you bring ideas that provide a significant competitive edge to our company
Appropriate training to familiarize yourself with the company's activities
Training to improve your skills paid by the company
Private medical care
English lessons if desired
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
We are an American company that invests in the US electricity market.
We have offices in Miami and in Warsaw
We heavily rely on the teamwork of our engineers to make investments decisions based on big data analysis.
We are a company of around 30 people (almost everyone is an engineer) and have been growing very rapidly since 2016.