Data Engineer & Analyst

Description

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.

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.

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).

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.