Position: Data Engineer To Product Team
Company: 2K-Group
Experience required: 3y
English level: upper

Looking for a Software Developer -Data Engineering. You'll be responsible for moving machine learning models into production. You will also be working with and building onto  recommendation systems produced by data scientists, as well as building and optimizing Analytics solution and infrastructure in Google Cloud Platform. Project data infrastructure is used across the business including analytics microservices, as well as billing, reporting, and R&D projects

**Responsibilities**
• Using Google Cloud Platform’s managed data services (Dataflow, Storage, PubSub, BigQuery, Bigtable, Airflow)
•  Developing microservices in a multi-cluster Kubernetes environment.
• Productionizing machine learning based recommendation systems
• Building batch and streaming data pipelines for clickstream and other data
•  Deploying an infrastructure to create and maintain datasets and APIs using Python, Java, and Go
• Developing new reports and metrics for our analytics platform in SQL

**Skills you have**
• High proficiency in one or more programming languages of your choice, such as Node.js, Python, Java, Go, Scala, etc
• Proficiency in SQL
• Familiarity with map-reduce algorithms and distributed systems
• Excellent communication skills; you will work cross-functionally across multiple teams
• Aptitude to independently learn new practices and technologies, as well as prototype and propose software design and solutions
• Basic understanding of Docker and Kubernetes
• Knowledge of distributed message queue technologies such as Kafka
• Understanding of A/B testing methodologies
• Ability to perform data analysis
• Some knowledge of microservices architecture
• Experience with productionizing machine learning systems
• Experience with Cloud Computing, such as Google Cloud Products, Azure, or Amazon Web Services
• Experience with building data pipelines using tools such as Airflow
• Curious and with a self-driven attitude
• Great collaborator

**Nice to have**
• Start up experience
• Worked in an e-Commerce space
• Worked in a SaaS based company

Full Time Remote Position. Upper-intermediate English.