AWS Data Engineer (Must hold current SC)

AWS Data Engineer (Must hold current SC) The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff. Overview: We are looking for a highly skilled AWS Data Engineer to join our team. The ideal candidate will have expertise in designing, building, and managing scalable data pipelines on AWS. You will work closely with data scientists, analysts, and software engineers to implement efficient data solutions that support business intelligence and analytics needs. Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Step Functions, and Kinesis. Work with structured and unstructured data from multiple sources, ensuring efficient data ingestion, transformation, and storage. Develop and optimize data lake and data warehouse solutions using Amazon S3, Redshift, Athena, and Lake Formation. Implement data governance, security, and compliance best practices, including IAM roles, encryption, and access controls. Monitor and optimize performance of data workflows using CloudWatch, AWS Step Functions, and performance tuning techniques. Automate data processes using Python, PySpark, SQL, or AWS SDKs. Collaborate with cross-functional teams to support AI/ML, analytics, and business intelligence initiatives. Maintain and enhance CI/CD pipelines for data infrastructure using Terraform, CloudFormation, or CDK. Troubleshoot and resolve data integration, performance, and reliability issues in a cloud environment. Required Skills