Data Engineer

Job Summary

Build and maintain production-grade data pipelines and data platforms using Python and Java, working with large datasets, cloud infrastructure, and data warehouses to deliver reliable and scalable data solutions.

Responsibilities

• Build and maintain ETL/ELT pipelines using Python and Java
• Develop data ingestion and transformation workflows from multiple sources
• Design and optimize data models and data warehouse solutions
• Process large datasets using Spark or PySpark
• Monitor, troubleshoot, and improve pipeline performance and reliability
• Collaborate with engineering, analytics, and product teams

Requirements

• 3+ years of professional Data Engineering experience
• Strong professional experience with both Python and Java
• Advanced SQL and strong understanding of relational databases
• Hands-on experience with ETL/ELT and data pipeline development
• Experience with Spark/PySpark and Airflow or similar orchestration tools
• Production experience with a cloud platform and data warehouse

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