Middle Data Engineer (Logistics domain)

Requirements

• At least 3 years of experience in data engineering and with cloud computing service solutions in the area of data and analytics, Azure is preferred one
• Conceptual knowledge of data analytics fundamentals such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data
• Knowledge of SQL and experience with Python
• Experience of working in cross-functional teams
• Experience in database development and data modeling, ideally with Databricks/Spark
• Excellent communication and interpersonal skills
• Strong problem-solving and decision-making skills, with a focus on delivering results and meeting deadlines
• Upper-Intermediate level of English

Would be a plus

• A subject matter expert in the logistics domain

Responsibilities

• Implement architectures based on Azure cloud platforms (Data Factory, Databricks, etc.)
• Design, develop, optimize and maintain team-specific data architecture and pipelines that adhere to defined ETL and Data Lake principles
• Work closely with the client and other stakeholders to clarify technical requirements and expectations
• Discover, understand, and organize disparate data sources and structure them into clean data models with clear, understandable schemas
• Contribute to the evaluation of new tools for analytical data engineering on the project