BigData/Python Engineer

Location:
Lviv/Kyiv, Ukraine
Technical Level:
Middle
Job Category:
Big Data

Company intro:
Our customer is Switzerland’s largest media company with a history stretching back over 186 years. Сompany produces more than 150 newspapers and magazines and runs several radio and TV stations. The focus is on connecting, entertaining and informing people around the world providing quality journalism and exceptional entertainment. 

Your contribution:

  • Develop API and software for our entire data pipeline to process massive amounts of data in real-time in the public cloud (AWS)
  • Implement main use case: analyze data of online customers across brands and make user behavior and content insights comprehensible for product and content recommendations
  • Be comfortable with deploying and running production-grade microservices
  • Collaborate within a cross-functional international team to plan, design, implement and run data processing solutions, including running DNN models in production
  • Develop technical designs for advancing the complex data processing and machine learning pipelines across multiple AWS products and services
  • Ensure customer experience for platform API users is as intuitive as possible

 
Your profile:

  • A passionate data engineer who loves software development and distributed data processing and is already experienced with data processing and analysis in Python and AWS
  • Familiar with principles and common design patterns regarding distributed systems based on microservices and/ or serverless architecture running on AWS Lambda, AWS ECS or AWS EKS
  • Familiar with AWS data processing stack as AWS Kinesis, Athena, S3, Lambdas, Firehose
  • Experienced in deploying production-grade software with fully automated CICD pipeline and configuring fully automated logging and monitoring of a distributed system
  • A pragmatic mindset and straightforward decision making, i.e. not afraid of making mistakes, and learning from them
  • Fluency in English
  • Willing to travel to Munich and Zurich from time to time 

Additional desirable skill:

  • Knowledge of machine learning and data science
  • CICD for serverless infrastructure using Github Actions
  • Ability to deep dive into log files and application monitoring alerts

 
We offer:

  • Flexible hours approach
  • Competitive salary and compensation package
  • 18 business days of payable annual free-time
  • 10 days of paid sick leave
  • Personal education budget
  • Membership of the IT-BPO club card, loyalty program.
  • Gym, Masseur, and Doctor
  • Relax zones

Fun:

  • Corporate events and outstanding parties
  • Team buildings
  • Anniversary presents
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