Data Engineer
Posted Updated 4
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Summary
Design and operate data pipelines for a crypto exchange, connecting diverse sources to the warehouse, improving data quality, and setting up monitoring and incident response systems.
Design and operate company-wide data collection, loading, and processing pipelines; connect diverse source data to the data warehouse; improve data quality; and establish monitoring, alerting, and incident-response systems.
Responsibilities
- Design and operate data collection, loading, and processing pipelines
- Connect diverse source data to the data warehouse
- Detect and improve data loading delays, omissions, duplicates, and consistency errors
- Establish monitoring and alerting systems for data platform operations
- Establish incident response systems
Requirements
- At least 5 years of experience
- Experience directly designing, developing, and operating ETL pipelines
- Experience optimizing performance and responding to incidents in large-scale data environments
- Experience identifying and improving data consistency, quality, duplication, and omission issues
- Experience designing or operating monitoring, alerting, and reprocessing structures for data pipelines
- Experience with financial, fintech, trading, order, or settlement data
- Experience with Spark, Flink, Kafka, Kinesis, or MSK
- Experience operating Redshift, BigQuery, or Databricks
- Experience with Iceberg, Delta Lake, or Hudi
- Experience with data quality monitoring, metadata management, or data lineage
Benefits
- Flexible working hours
- Welfare points
- Transportation cost support for night and holiday work
- Breakfast, lunch, and dinner support
- Unlimited snacks and beverages
- Housing support
- Childcare cost support
- Holiday and Parents' Day gifts
- Health screenings for employees and family members
- Group accident insurance
- Employee club support
- Resort and condominium accommodation support