About this role
Our client is seeking a Senior AWS Data Engineer to join their team and contribute to their mission of providing modern data platform solutions. In this role, you will leverage your expertise in AWS technologies to design, implement, and optimize data pipelines that support data-driven decision-making for clients.
Key Responsibilities:
- Develop and maintain scalable data pipelines using AWS services such as Glue, Lambda, and Redshift.
- Collaborate with data scientists and analysts to understand data requirements and ensure data quality.
- Design and implement data models and architectures that support analytics and reporting needs.
- Monitor and troubleshoot data workflows to ensure high availability and performance.
- Provide technical guidance and mentorship to junior data engineers.
Required Skills & Qualifications:
- Strong experience with AWS services and data engineering best practices.
- Proficiency in programming languages such as Python or Java.
- Experience with ETL processes and tools, particularly in an AWS environment.
- Familiarity with data warehousing concepts and technologies.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience:
- Minimum of 5 years of experience in data engineering or a related field, with a focus on AWS technologies.
What we offer:
- Opportunity to work on cutting-edge data solutions.
- Flexible working arrangements as a freelancer.
- A collaborative and innovative team environment.
This role is managed by AI-First Talent on behalf of our client. Your application is reviewed directly by our talent team.