Data Engineer

Position: Data Engineer/Python Developer

Company Overview:

PLANNATECH is a dynamic B2B company offering managed trading solutions for sportsbooks. We are at the forefront of sports betting technology, developing innovative and cutting-edge tools to revolutionize the industry. Our commitment to excellence has made us a leader in the market, and we are now seeking to expand our team with passionate and skilled individuals.

Division Overview:

The Trading Research & Development division is the heartbeat of our innovation. It consists of four core departments: Sports Math Models, Trading Tools and Algorithms, Trading Interfaces, and Analytics. Our focus is on creating sophisticated sports betting models, automated trading algorithms, user-friendly trading interfaces, and comprehensive analytics tools.

Responsibilities:

· Build entire Data Pipelines for the Data Teams keeping data integrity.

· Maintain the Data Lake and Pipelines Clean for the company needs being able to modify, add or improve them.

· Understand the new data needs within the teams and company to prepare and optimize data pipelines.

· Be able to perform the ETL process from new data sources to enrich the Data Products.

Skills required:

· Python, Numpy, Pandas, MatplotLib (PySpark Framework is a plus)

· REST API ingestion, CSV, JSON Files

- Scripting and Automation

- Linux Command Prompt

- GitLab

· Understanding data concepts such as Data Science, Data engineering and ETL.

· Bilingual (Advanced Conversational English)

- SQL Server

Plus Skills (Not required):

· Hadoop HDFS, Yarn

- Spark

· MongoDB

· Experience building an ETL (Extract, Transform, Load) process

- Golang

- BI experience

Experience:

· Entry level with interest to develop a carrier on Data Science, Data Engineering or Machine Learning

· Bachelor degree in Computer Science or related field

- Experience on data engineering, ETL or Data pipelines is a plus

We offer:

· An opportunity to be part of an innovative and forward-thinking company.

· A collaborative and dynamic work environment.

· Competitive compensation and relocation support.

· Professional growth in a rapidly evolving industry