Senior Data Engineer
Job Purpose and Impact
- The Senior Professional, Data Engineering designs, builds, and maintains complex data systems that enable data analysis and reporting. This role includes a focus on Treasury-specific data solutions, ensuring high-quality financial data pipelines and models. You will work on scalable architecture to support treasury analytics and decision-making.
Key Accountabilities
- DATA INFRASTRUCTURE: Prepare and manage data infrastructure for efficient storage and retrieval of data.
- DATA PIPELINES: Develop and maintain batch and streaming pipelines to ingest and transform financial data into information and move to data stores like data lake, data warehouse and others.
- DATA MODELING: Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.
- AUTOMATED DEPLOYMENT PIPELINE: Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.
- STAKEHOLDER MANAGEMENT: Collaborate with analysts, finance teams, and platform engineers to align solutions with business needs.
- DATA SYSTEMS: Reviews existing data systems and architectures to identify areas for improvement and optimization.
- DATA & ANALYTICAL SOLUTIONS: Develops complex data products and solutions using advanced engineering and cloud-based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
- INNOVATION: Prototype new frameworks and continuously optimize existing architectures to reduce technical debt and improve performance.
Qualifications
- 10+ years of data engineering experience, with at least 4 years in senior roles.
- Strong SQL and Python expertise for data manipulation and pipeline development.
- Exposure to financial or treasury data domain is a huge plus
- Good to have but not mandatory experience with Snowflake, Airflow, Astronomer, DBT
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