AI Data Engineer-
Summary
Design and maintain scalable data pipelines, ETL/ELT workflows, and feature datasets to power AI models and analytics at a global bank.
- Build data pipelines
- Design data quality checks
- Design system for throughput latency consistency and idempotency
- Implement ETL/ELT pipelines
- Integrate heterogeneous data sources
- Manage unstructured data parsing chunking and normalization
- Monitor production pipelines
- Own data ingestion to retrieval ready data
- Prepare feature ready datasets
- Route pipeline failures
- Support data warehouse and data lake
- Trace and troubleshoot data pipeline issues
- Tune distributed compute jobs
Perks/Benefits:
- Annual leave
- Continuous learning culture
- Digital wellbeing platform
- Employee assistance programme
- Flexible benefits
- Flexible working
- Life insurance
- Medical insurance
- Parental leave
- Resilience training
- Retirement savings
- Sabbatical
- Volunteering leave