About this role
The team is seeking a skilled AWS Data Engineer to join their team, specializing in building and maintaining modern data pipelines using ETL/ELT methodologies. The ideal candidate will have extensive experience in transforming unstructured data into structured datasets, creating CI/CD automation, and ensuring high-quality, validated data for analytical purposes.
Key Responsibilities:
- Design, develop, and maintain robust ELT pipelines using Databricks.
- Transform unstructured data into structured datasets for improved data analysis.
- Implement CI/CD automation to streamline data processing workflows.
- Collaborate with data scientists and analysts to ensure data quality and accessibility.
- Monitor and optimize data pipelines for performance and reliability.
Required Skills & Qualifications:
- Proficient in AWS services, particularly in data engineering tools.
- Strong experience with Databricks and ETL/ELT methodologies.
- Familiarity with data modeling and data warehousing concepts.
- Knowledge of programming languages such as Python or SQL.
- Excellent problem-solving skills and attention to detail.
Experience:
- Minimum of 5-8 years of relevant experience in data engineering or a similar role.
What we offer:
- Opportunity to work with cutting-edge technology in a dynamic environment.
- Professional growth and development opportunities.
- A collaborative and innovative team culture.
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.