Position: Data engineer Python (ML/AI project)
Company: Geniusee
Category: Data Engineer
Experience required: 2y
English level: intermediate
Published: 2021-12-01T00:00:00+02:00

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities🌿
We care about **Trust, Partnership, Transparency, and Responsibility**. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜 If you want to work from home and be a full-time employee or work in the city center of Kyiv, great — apply right now.

**About the project: **
Warehouse management platform which allows to manage warehouse robots responsible for sorting, storing, and managing goods. The AI-based tool with complex systems.

**Requirements:**
● Bachelor’s degree in Computer Science or related field OR equivalent experience;
● 2+ years experience in building applications using Python (pandas / numpy / pika);
● Experience with Docker;
● Experience in Spark (Databricks);
● Experience with data profiling and code quality;
● Ability to learn new technologies;
● English — upper-intermediate;

**Would be a plus:**
● Working experience in AWS (SageMaker, Lambda, SQS, SNS, DynamoDB, Step Functions, Batch, ECS, EC2);
● Working experience in building REST API services;
● Experience with building data pipelines is a plus;
● Experience with Agile/Scrum methodology;

**We offer**
● Competitive salary level;
● English classes in the office;
● Exciting and challenging startup projects;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Career development opportunity;
● Informal and friendly atmosphere;
● Cozy office near the city center;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate parties;
● Paid vacation (18 working days) and sick leaves;
● Insurance;
● Unlimited work from home.