Senior Data Engineer

We are looking a highly skilled and motivated Senior Data Engineer to join our dynamic team. The ideal candidate will be a great team player that can lead and also be responsible for designing, developing, and maintaining robust data pipelines and analytical solutions to support our business objectives. This role requires a blend of engineering and analytical skills to ensure data integrity, optimize data workflows, and provide actionable insights. This role requires a deep understanding of financial data, system integration, and analytics to support strategic decision-making and regulatory compliance.

Your Day-to-Day:

• Design, develop, and maintain scalable data pipelines and ETL processes
• Collaborate with product, analysts, and other stakeholders to understand data requirements and translate business needs into technical requirements
• Ensure data quality and integrity across various data sources
• Develop, maintain and own data models, schemas, and documentation
• Optimize database performance and troubleshoot issues
• Stay updated with the latest industry trends and best practices in data engineering and analytics
  
  

• + 4 years of experience as a Data Engineer
• Expert Proficiency in SQL
• Advanced programming skills in Python
• Develop data monitoring process
• Hands-on experience with cloud data platforms (Snowflake- Advantage, OCI ect’)
• Understanding of Kafka and event-driven architectures for real-time financial data processing
• Familiarity with financial data models, accounting principles, and regulatory reporting
• Proven experience with cloud architecture principles
• Experience with data visualization and BI tools (Power BI, Looker, BI modeling)
• Strong communication and collaboration skills
• Advanced troubleshooting skills- Excellent problem-solving skills, attention to detail and ability to analyze complex data structures
  
  

• Experience in the banking or fintech industry
• Experience with API integrations and financial transaction data processing
• Exposure to machine learning and predictive analytics in financial risk modeling