Data Engineer

- Designing and implementing data pipelines to facilitate efficient data processing and analysis
- Developing data integration and transformation solutions using platforms like Apache Airflow and Azure Data Factory
- Building scalable data infrastructure to support complex data engineering tasks
- Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks for cloud-based data solutions
- Applying data architecture development techniques to enhance data quality and validation processes
- Optimizing database performance through query optimization and database management systems
- Collaborating with team members to address data challenges and drive business growth
- Engaging in active listening and accepting feedback to improve personal and team performance
- Adopting agile scalability practices to adapt to changing client needs and project scopes
- Upholding professional standards and the Firm's code of conduct in all data engineering activities