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.
Requirements: Proven experience as a Data Engineer at least 3-5 years.
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.
Advantages:
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.
This position is open to all candidates.