About this role
The team is seeking a Lead AWS Data Engineer with expertise in Python and Scala to join their dynamic team. The ideal candidate will be responsible for developing and optimizing data pipelines that support high-performance processing and data management solutions.
Key Responsibilities:
- Architect, build, and enhance scalable data pipelines to facilitate efficient data processing.
- Identify, diagnose, and resolve issues within data pipelines to ensure operational efficiency and reliability.
- Design effective data storage and retrieval strategies utilizing Postgres, Redshift, and other database technologies.
- Implement and maintain continuous integration and deployment (CI/CD) strategies to automate workflows and improve development processes.
- Collaborate with cross-functional teams to align data architecture with business objectives and requirements.
Required Skills & Qualifications:
- Proficiency in AWS services related to data engineering.
- Strong programming skills in Python and Scala.
- Experience with data pipeline tools and frameworks.
- Familiarity with data storage solutions such as Postgres and Redshift.
- Knowledge of CI/CD practices and tools.
- Excellent problem-solving skills and attention to detail.
Experience:
- Minimum of 5 to 8 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work in a collaborative and innovative environment.
- Access to cutting-edge technologies and projects.
- Support for professional development and career growth.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.