Data Engineer

To turn data into real value for our organization, we are looking for specialized services that can help us develop data-driven products in Datalake and cloud environments. We need expertise to implement complete data processing pipelines from ingestion and transformation to API exposure and data visualization.

Responsibilities:

• Design and implementation of complete data processing pipelines, both on-premise and in the cloud.
• Development of data products for various functional domains.
• Creation of data ingestion pipelines and integration of basic ML algorithms.
• Building data products using SQL and NoSQL standards.
• Interactive visualizations with tools such as Looker, Spotfire, or Tableau.
• Consulting on technology and service selection and building a solid data tools ecosystem.

Essential Requirements:

• Minimum 3 years of experience as a Data Engineer.
• Proven experience with DataLake or Data Warehouse environments (data modeling, data quality, flow monitoring).
• Minimum 2 years of experience in Python programming.
• Good knowledge of the following tools and technologies:
• Google Cloud Platform, GitLab, Airflow, DataProc, IntelliJ, Spark/Scala or equivalent.
• Exposure to AI/ML tools in development activities (e.g., Vertex AI, GitHub Copilot).
• Fluent English and experience in international working environments.

Desirable:

• Experience with AI projects, Dataiku, or Web applications is a strong plus.

Familiarity with Jira and Confluence