Lead Data Engineer

· Design, develop, and maintain scalable data pipelines using AWS serverless technologies including Amazon S3, AWS Lambda, AWS Glue, Redshift Serverless, Step Functions, and EventBridge.

· Build robust ETL/ELT frameworks to ingest, transform, validate, and publish data from multiple enterprise sources.

· Develop reusable data ingestion and transformation components to accelerate onboarding of new datasets.

· Implement CDC (Change Data Capture), incremental processing, and event-driven architectures.

· Optimise Redshift workloads, SQL processing, storage strategies, and query performance.

· Establish data quality, monitoring, reconciliation, and alerting frameworks.

· Define end-to-end solution architecture for data and analytics platforms.

· Lead technical design reviews, code reviews, and architecture governance activities.

· Drive adoption of cloud-native and serverless design patterns.

· Establish engineering standards, CI/CD automation, security controls, and operational best practices.