Data Engineer - Financial Services

Responsibilities:

- Collect, clean, and preprocess large datasets from various sources to ensure data accuracy and integrity.

- Perform advanced data analysis using statistical methods, data mining techniques, and machine learning algorithms to uncover insights and trends.

- Develop and maintain interactive dashboards and reports to visualize complex data and present findings to stakeholders.

- Defining and building data warehouse and reporting solutions

- Preparing high level documentation to be interpreted and understood by technical and non-technical audiences.

Requirements:

- Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Mathematics, Economics).

- Proficiency in data manipulation and analysis tools such as SQL, Python, R, or similar.

- Strong analytical thinking and problem-solving skills with a keen attention to detail.

- Cloud-based experience, preferably with AWS and/or Azure.

- Infrastructure experience; Azure Data Factory / SSIS, SQL (On-prem/Cloud)/

- Experience of creating PowerBI/Tableu solutions and dashboards from row level data including data structure optimization through to visualization and dashboard creation.

- Strong MySQL Development including debugging & troubleshooting.

- Experience in SQL Server Integration Services (SSIS).

- Solid Relational Database design skills with an eye for performance optimization.

- An ability to translate business requirements into technical specifications.

- Working within a continuous integration environment with automated builds, deployment, and unit testing.

- Having a good understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimization, error handling, logging, monitoring, validation, and alerting.