AI Data Engineer
Standard Chartered · Guangzhou, CN ·
- Work mode
- Remote
- Category
- Data engineering
aidata-ingestiondata-lakedata-pipelinesdata-qualitydata-sciencedata-warehousingdelta-lakedistributed-systemseltetllakehousemachine-learningspark
- Build data pipelines for AI/ML
- Collaborate with data science and AI platform teams
- Contribute to model validation and improvements
- Design data ingestion and retrieval ready datasets
- Design distributed systems for data consistency and throughput
- Develop ETL and ELT workflows
- Drive delivery of AI ML use cases
- Implement data quality checks
- Maintain Delta Lake and Iceberg tables
- Manage lakehouse data partitioning and file formats
- Monitor production data pipelines
- Participate in governance and risk management
- Process unstructured data for AI consumption
- Support data warehouse and data lake environments
- Troubleshoot and trace pipeline failures
- Tune Apache Spark jobs
Perks/Benefits:
- Annual leave
- Continuous learning culture
- Development courses
- Digital wellbeing platform
- Employee assistance programme
- Flexible working
- Life insurance
- Medical insurance
- Parental leave
- Retirement savings
- Sabbatical
- Volunteering leave