Related skills
aws sql python databricks spark📋 Description
- Design, build, and maintain scalable data pipelines for AML/KYC/KYB, sanctions screening, and SAR reporting.
- Improve data infrastructure by addressing pipeline gaps, lineage, and data quality issues.
- Build data marts and semantic layers for self-serve analytics by scientists and analysts.
- Partner with data scientists and ML engineers to productionise feature pipelines and keep data fresh.
- Use AI-assisted development with LLM tooling to write code, automate checks, and generate docs.
- Implement data quality monitoring, pipeline health checks, and regulatory audit controls.
🎯 Requirements
- 8+ years in data engineering, fintech or compliance-adjacent roles.
- Strong Python and SQL; experience with Spark, Hadoop, or Databricks.
- Cloud/big data: Alibaba MaxCompute, Google BigQuery, AWS Redshift.
- Hands-on with AI-assisted engineering using LLM tools.
- Experience designing data marts/semantic layers for self-serve analytics.
- Data governance, access control, and audit trails in regulated industries; crypto familiarity helps.
🎁 Benefits
- L&D programs and education subsidy for growth and development.
- Various team building programs and company events.
- Wellness and meal allowances.
- Comprehensive healthcare schemes for employees and dependants.
- More that we love to tell you along the process!
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