AWS Data Engineer

Design, develop and maintain scalable ETL and data pipelines using AWS Glue, Apache Spark, Amazon Redshift, Amazon S3 and related AWS services.
Build and optimise data warehousing and data lake solutions to support analytical and operational business requirements.
Develop applications and data processing solutions using Python, SQL and cloud-native technologies.
Create and maintain robust data models that support reporting, analytics and business intelligence needs.
Perform data quality analysis, root cause investigation and resolution in collaboration with business and technical stakeholders.
Develop proof-of-concept solutions to evaluate and implement innovative data engineering approaches.
Support the operation and ongoing maintenance of data services to ensure reliability, scalability and performance.
Automate repetitive activities and create reusable frameworks that improve efficiency and consistency.
Work closely with cross-functional teams to design and deliver data products that support marketing and other business functions.
Manage source code, deployments and releases using GitHub and CI/CD practices.
Leverage tools such as Athena, Apache Iceberg, APIs and JSON-based integrations to support modern data architectures.
Contribute to process improvements, operational excellence and continuous service enhancement initiatives.
Exposure to Amazon QuickSight for dashboard development and data visualisation will be advantageous.