Cloud Data Engineer

Responsibilities:

• Implement and manage data ingestion pipelines from diverse sources such as Kafka, RDBMS (Postgres) using CDC (Change Data Capture), and file systems (CSV) following Medalion Architecture principles
• Develop and optimize data transformations using PySpark and SQL to handle data ranging from MB to GB, depending on the source
• Conduct unit testing and integration testing to ensure the accuracy and reliability of data transformations and pipelines
• Work with AWS technologies, including S3 for data storage and Docker on AWS for containerized applications
• Implement and manage infrastructure using Terraform, such as creating S3 buckets, managing Databricks Service Principals, and deploying infrastructure as code
• Deploy and manage solutions using CI/CD pipelines, particularly with CircleCI, to ensure seamless and automated deployment processes

Requirements:

• Minimum 4-5 years of a professional experience
• Proficiency in SQL and Python
• Strong experience with AWS cloud services
• Hands-on experience with DataBricks
• Knowledge of ETL Processing
• Effective communication skills in English (minimum B2 level)
• Knowledge of system design
• Understanding of Medalion Architecture

Nice to have:

• Familiarity with Kedro and Airbyte 
• Knowledge of Machine Learning
  

Offer:

• Private medical care
• Co-financing for the sport card
• Training & learning opportunities
• Constant support of dedicated consultant
• Team-building events organized by DCG
• Employee referral program