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We are proud to present you with the following opportunity.
Our client is a fast-growing technology-driven company working on advanced data solutions to support analytics and digital transformation initiatives. They are building scalable, secure data platforms and pipelines that power decision-making across the organization.
As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining robust data pipelines and infrastructure. You will work closely with cross-functional teams to ensure high-quality, reliable, and scalable data solutions. This role requires strong expertise in Python, Airflow and AWS, with an opportunity to contribute to DevOps practices.
Design, build, and maintain ETL pipelines using Airflow and AWS-native services.
Develop scalable data solutions and integrate data from diverse sources into the enterprise data platform.
Ensure data availability, reliability, and performance across production systems.
Collaborate with data scientists, analysts, and business teams to enable advanced analytics and insights.
Implement best practices for data governance, quality, and security.
Contribute to process automation and infrastructure improvements.