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Data Engineer

Childish is a software development company focused on Python solutions. We provide end-to-end software development services and AI and ML solutions. What is childish about us is our creativity and love of learning, anything else we do as responsible business people and engineers who are passionate about their code.

What is unique about us is that our company is a 50% subsidiary of Podarete kniga / Give a Book foundation, a fact that few of our clients know, but all of our colleagues appreciate - we are not just working, we are working for the cause of 500 children.

What you get
  • Great team of colleagues working for a great cause
  • A flat structure where the management is always there to hear you
  • Flexible working hours
  • Opportunity to work fully remote
  • Additional health insurance
Role Description
We continue to grow and are looking for talented individuals who want to join our fast-growing Data & AI practice. If you are passionate about increasing the value of data and analytics in organisations, you have come to the right place. We are looking for AWS Data Engineers who are passionate about Cloud technology. Some of your responsibilities are:
  • Analyze and organize raw data
  • Design and build data systems and pipelines
  • Prepare data for predictive and prescriptive modeling
  • Collaborate with data scientists and architects on complex challenges
  • Identify opportunities for data acquisition
  • Work with our clients to deliver modern data products 
  • Use AWS Data-focused Reference Architecture 
  • Implement effective metrics and monitoring processes
Required Experience
  • Tech stack: Python / Elasticsearch 
  • 2+ years of experience with building data-powered solutions
  • Experience in developing ETL/ELT data pipelines (on Cloud, prem to Cloud, etc.)
  • Experience with the database administration 
  • Experience with the Microsoft Azure or AWS and data management tools such as Azure Datafactory, Datalake and Databricks, AWS Snowflake, Terraform is a plus
  • Experience with data visualization tools is a plus (PowerBI, Tableau, Kibana)
  • Interest in statistics, predictive modelling, evaluation metrics and ML is a plus
  • Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review)
  • English
What you will do
  • Writing and improving data pipelines that load data and transform it for the use of our data science team
  • Ensuring all data is available in the right format and reliable quality
  • Testing Data pipelines at staging environments and deploying them in production
  • Writing proprietary packages to be used for internal purposes to make the standard tasks easier (such as data load, model testing, exploratory data analysis, etc.)
  • Work in close collaboration with ML Engineers and Data Scientists on the implementation of data models
  • Work with junior developers, as we believe in sharing knowledge
  • Participate in internal initiatives for knowledge sharing with the whole team


Bulgaria (Remote role)

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