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About
Strong proficiency in AWS cloud-native data engineering, including: Glue, S3, Step Functions, EventBridge, Lambda, SNS/SQS, IAM. Hands-on experience designing and building data pipelines across AWS and/or Azure (Azure Data Factory, Databricks, Spark). Strong SQL development skills and experience working with diverse datasets. Experience implementing data quality, monitoring, and validation frameworks. Proven ability to build scalable, secure, well-documented pipelines in cloud environments. Valid SC clearance Desirable Skills
AWS certifications (advantageous). Experience with real-time event-driven patterns (e.g., EventBridge, Kinesis). Familiarity with modern DevOps/CI-CD tooling and Infrastructure as Code (Terraform, CDK). Experience supporting visualisation and BI environments. Understanding of data governance, security baselines, and working within regulated environments.What This Role Offers
Opportunity to shape a new data capability from the ground up. Work in a modern, multi-cloud environment using cutting-edge AWS-native tooling. High-impact work enabling better intelligence, reporting, and operational decision-making. Collaboration with a multidisciplinary team across engineering, analytics, governance and delivery
Languages
- English
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