Design and build data warehouse alongside the data team
Design, develop, and maintain data pipelines and ETL processes to ingest, process, and transform large volumes of data from various sources into our data warehouse.
Build data pipeline to third party reporting and automation tools
Work with clients to provide clean and reliable data in a safe environment
Build and optimize data models, schemas, and databases to support analytical and reporting requirements.
Implement data quality checks, monitoring, and error handling mechanisms to ensure the integrity and reliability of our data.
Collaborate with the data team and business departments to understand data requirements and deliver data solutions that meet business needs.
Continuously optimize and improve data infrastructure, performance, and scalability to support growing data volumes and evolving business requirements.
Stay up-to-date with emerging technologies and best practices in data engineering, cloud computing, and data management.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
4+ years experience as a Data Engineer or similar role, with a strong background in designing and building data pipelines, ETL processes, and data warehouses.
Hands-on experience with cloud-based data platforms and services, particularly AWS (Amazon Web Services) including but not limited to S3, Redshift, Lambda and Glue
Proficiency in programming languages such as Python, SQL, and experience with data processing frameworks/libraries such as Apache Spark, Pandas, or similar.
Experienced in managing compute workloads and scaling with tools such as kubernetes
Solid understanding of database concepts, data modelling, and relational databases (e.g., PostgreSQL, MySQL).
Strong analytical, problem-solving, and communication skills, with the ability to work effectively in a fast-paced and collaborative environment.
Experience working in the fintech or financial services industry is a plus.
Excellent communication and collaboration skills, with the ability to interact effectively with technical and non-technical stakeholders.

Data Engineer

Key skills