data engineer in fintech

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• Design and develop the Financial Data Warehouse across ODS, DWD, DWS, and ADS layers
• Build scalable data models for user, transaction, repayment, and risk domains
• Design and develop real-time data pipelines using Kafka and Flink
• Support real-time risk features, transaction monitoring, and operational dashboards
• Ensure consistency between batch and real-time data through unified architectures
• Establish a Single Source of Truth (SSOT) for key business KPIs
• Build data governance, metadata, and data quality frameworks
• Implement automated monitoring and quality checks across batch and streaming pipelines

• 5+ Years of experience in Data Engineering or Big Data development
• Strong hands-on experience with Hive, Spark, and Flink
• Strong understanding of DWH architecture and ODS / DWD / DWS / ADS layering
• Production experience with Kafka, Flink, or similar streaming technologies
• Experience with state management, exactly-once processing, and late-arriving data
• Strong experience in ETL, data modelling, and optimisation
• Experience building data governance and data quality frameworks
• Strong experience in banking, fintech, payments, lending, credit, or financial risk
• Good understanding of loan origination, repayments, delinquency, and risk data

• Условий в вакансии нет