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Standard Chartered

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AI Data Engineer

Discussion
- 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

Skills

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