Intermediate Data Engineer

📋 Description

• Implement ETL/ELT solutions and integrate data across multiple systems and sources, ensuring
• Design, develop, and maintain scalable data pipelines for ingesting, storing, transforming, and
• Apply data transformation, cleaning, aggregation, and modeling techniques to produce efficient and
• Develop and maintain data exchange APIs between applications and data platforms.
• Build and manage pipeline workflows using orchestration tools such as Apache Airflow, Luigi, Mage
• Optimize PySpark jobs and SQL queries by considering data volumes, query complexity, resource

🎯 Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis
• Relevant experience in data engineering, with an intermediate level of proficiency in designing and
• Strong programming skills in Python, PySpark, Scala, and SQL, with the ability to manipulate
• Practical understanding of ETL/ELT concepts, data pipeline architectures, data transformation, data
• Experience with orchestration frameworks such as Apache Airflow, Luigi, Mage, or Databricks
• Experience with cloud platforms such as AWS, Azure, or Google Cloud and their associated data and

🎁 Benefits

• Performance-based bonus*
• Attendance bonus*
• Private pension plan
• Meal allowance
• Health, dental, and life insurance plans
• Transportation allowance