Senior Data Engineer

📋 Description

• Design and implement end-to-end data architectures for enterprise analytics and operations.
• Build and optimize data pipelines using Python, SQL, and Spark across on-premise and cloud
• Manage large-scale storage and processing with Iceberg, Hadoop, and HDFS.
• Develop and maintain dbt models for clean, reliable data structures.
• Implement robust data ingestion from third-party APIs and on-premise systems.
• Collaborate with cross-functional teams to align business and technical goals.

🎯 Requirements

• 4+ years in data engineering, including at least 1 year on-premise systems.
• Proficiency in Python for data workflows and pipeline development.
• Strong experience with SQL, Spark, Iceberg, Hadoop, HDFS, and dbt.
• Familiarity with third-party APIs and data ingestion processes.
• Excellent communication skills; able to work independently with technical and non-technical
• Master’s degree in Data Science or related field.

🎁 Benefits