Global App Testing Company Profile

Python Data Engineer Krakow (PL) at Global App Testing (Kraków, Poland)

About the Employer

Job Description

Description We build the testing platform used by our customers (Facebook, WhatsApp, Microsoft) and 20,000 professional testers around the world. Why work with us? You’ll be working in a fast feedback and deploy environment Deploy multiple times a day to production DevOps Environment: Kubernetes, Prometheus, Grafana, Graylog, Sentry, NewRelic, GitHub, Concourse, Slack & JIRA You’ll use the latest technology and practices Backend: Ruby 2.5, Ruby on Rails 5.1, RSpec, Eslint, Rubocop Coding Practices: Static Code Analysis, Code Review, SOLID You’ll grow personally and professionally Leadership: Mentoring, Personalised development plans, 1:1s Team: Friday tech talks, Retrospectives, knowledge sharing Quickstart: Bootcamp, Buddy System, First-day release to production. Compensation & Benefits Negotiable salary, but within 15000 – 20000 PLN net a month on a VAT invoice (B2B), depending on your experience and quality of your code Paid holidays (all holidays in your country + up to 20 days) Permanent contract with a 6 months trial period What You'll be doing: You will design and implement highly scalable data processing software, ideally in Python, RedShift and more. Building solutions to turn billions of data points from our testers into actionable insights. We just started working on a new product and You will take a meaningful part in our data science efforts.   Solving various interesting problems around tester management, tester scoring, semi-automated test execution, spam activity detection (also ML, natural language processing, neural networks down the line if you’re interested)– suggesting technologies that fit the problem at hand Designing and implementing new algorithms data process with modular, secure and well-tested code which has a clear separation of responsibility You'll work closely with other engineering teams so you can pioneer new technologies You'll improve the team and company – you will be an active participant in our culture (mentorship for less experienced developers, interviewing, and new initiatives) Previous Experience: Min 3 (4.5 senior devs) years of commercial experience Have built highly scalable and robust systems in the past– designing and implementing complex applications (code complexity and data model complexity) Experience with defining data pipeline that ingests data. Data migration, transformation and scripting Your Skills: We don't expect someone to tick every box. We are willing to train the right person who wants to learn. General knowledge of Python way & Python universe Knows basic Data Science Python tooling (numpy, scikit, pandas) Good experience designing data pipelines and various data storage (RDB and NoSQL) Good experience with AWS infrastructure (AWS Glue, Redshift, DynamoDB, …) Learns quickly. Demonstrates an ability to quickly and proficiently understand and absorb new information. Proactive attitude. Generates new and innovative approaches to problems. Think outside of the box. Focus on delivering and self-management Good written and spoken English communication skills (a must) Bonus Skills: Experience with AI (ML, NLP, Neural Networks of various types, Swarm Intelligence, Genetic Algorithms, etc.) Any experience in latest ES7, Redux, Elixir, Phoenix Any experience with building NodeJS apps (both frontend and server apps) Good understanding of how to apply SOLID principles in practice so you can help with training the team