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sql python airflow spark data ingestion📋 Description
- Define and own end-to-end Finance data architecture from ingestion to reporting.
- Lead scalable pipelines for trading data, P&L, and multi-entity consolidation.
- Set AI-native data practices and deliver auditable Finance data.
- Collaborate with Finance, Accounting, and Treasury to ensure audit-ready data.
🎯 Requirements
- 6+ years in data engineering, with at least 3 years owning a Finance data domain end-to-end.
- Deep understanding of financial data fundamentals: close rules, revenue recognition, consolidation.
- Strong SQL and Python; ability to design and maintain production pipelines at scale.
- Experience designing for immutability and lineage with traceable data.
- Autonomy to define requirements from ambiguous stakeholder input.
🎁 Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for growth
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
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