Senior Data Engineer

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).

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).

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.