Data Engineer & Analyst

We are seeking a highly skilled and motivated Data Engineer & Analyst 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.

Requirements:

• Proven experience as a Data Engineer, Data Analyst, or similar role.

• Expert Proficiency in SQL – at least 3-5 years.

• Advanced programming skills in Python.

• Strong communication and collaboration skills.

• Advanced troubleshooting skills- Excellent problem-solving skills, attention to detail and ability

to analyze complex data structures.

• 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.

• Familiarity with cloud architecture principles.

• Experience with data visualization and BI tools (Power BI, Looker, BI modeling).

Responsibilities:

• 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.

• Perform data analysis to identify trends, patterns, and insights.

• Create and maintain dashboards and reports to support business decision-making.

• Optimize database performance and troubleshoot issues.

• Stay updated with the latest industry trends and best practices in data engineering and analytics.

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.