• Strong hands-on experience with AWS services such as S3, Redshift, Lambda, Glue, and CloudFormation.
• Proficiency in Python for data manipulation and pipeline development.
• In-depth knowledge of Apache Airflow, including DAG creation and task orchestration.
• Advanced SQL skills, including query optimization and database management.
• Experience with data warehousing concepts and architectures.
• Familiarity with data lake architectures and big data processing frameworks.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Excellent communication skills to convey technical ideas to non-technical stakeholders.

Job Responsibilities/Objectives

As an AWS Data Engineer, you will design, develop, and maintain robust data pipelines and workflows, leveraging AWS services, Python, Airflow, and SQL. You will play a pivotal role in transforming raw data into actionable insights by enabling seamless data ingestion, transformation, and storage processes.

If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.

Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.

Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.