Data Engineer / データエンジニア

📋 Description

• Design, develop, and operate robust data ingestion pipelines
• Build large-scale data processing workflows with Spark, Python, SQL
• Develop data integration platforms across banking services and external sources
• Optimize pipelines with CDC, streaming, and batch approaches
• Build and maintain data lakehouse and data catalog (Databricks Lakehouse, Unity Catalog)
• Implement data governance, quality, metadata, lineage, access control, and audit logging

🎯 Requirements

• 4+ years as Data Engineer or related role
• Experience designing/operating data lakes/warehouses/lakehouse
• Databricks, Delta Lake, Apache Spark
• Python, PySpark, SQL
• Airflow, Dagster, or Prefect
• AWS cloud development/operations

🎁 Benefits

• VISA sponsor + Relocation support
• Paid leave (annual and personal)
• Social Insurance; 401K; language support