Description

We are seeking an experienced Senior Data Engineer.

The ideal candidate is a self-motivated, multi-tasking team player with a proven track record of collaboration.

You will be responsible for designing, developing, managing, and maintaining our open-source data platform, including our Data Lakehouse (S3, Spark, Iceberg, and ClickHouse), ETL processes, and orchestration tool (Temporal Workflow).

What You Will Do

• Develop a scalable data platform that integrates multiple sources for easy access.
• Design and enhance data tools, including orchestration, governance, Data Lakehouse, BI, and more.
• Ensure the smooth operation of data systems for analysts, data scientists, and engineers.
• Optimize data pipelines—ingestion, processing, and output—within a microservices environment.
  
  

Requirements

• 5+ years of experience in a data engineering-related position.
• Experience with Spark.
• Experience with Iceberg.
• SQL expertise, including working with various databases, data warehouses, third-party data sources, and AWS cloud services.
• Proficient in Python (OOP + Processing packages like Polars).
• Experience in building, designing, and optimizing data pipelines.
• Self-driven, can-do attitude.
  
  

Nice To Have

• Experience with ClickHouse.
• Experience with Glue Data Catalogue.
• Experience with K8S.
• Experience with Temporal Workflow.
• Familiarity with ERP systems (big advantage).
• Familiarity with supply chain systems (advantage).