Related skills
aws sql python databricks hadoop📋 Description
- Design, build, and maintain scalable data pipelines for compliance analytics.
- Improve data infra by spotting pipeline gaps and data quality issues.
- Create data marts and semantic layers for self-serve analytics.
- Collaborate with data scientists and ML engineers to productionize features.
- Apply AI-assisted development using LLM tooling to raise output quality.
- Ensure data quality monitoring, pipeline health checks, and alerting.
🎯 Requirements
- 8+ years in data engineering in financial services or fintech.
- Strong Python and SQL; experience with Spark/Hadoop/Databricks.
- Cloud/Big Data: Alibaba MaxCompute, BigQuery, AWS Redshift.
- Hands-on with AI-assisted engineering and LLM tooling.
- Experience designing data marts for self-serve analytics.
- Knowledge of data governance, access controls, and audit trails.
🎁 Benefits
- Competitive total compensation.
- L&D programs and education subsidies.
- Team events and company programs.
- Wellness and meal allowances.
- Comprehensive healthcare for employees and dependants.
- More details to share during the process.
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