About this role
The team is seeking a skilled Data Engineer to join their team. The ideal candidate will have a solid background in data engineering, with expertise in AWS technologies and data processing frameworks.
Key responsibilities include:
- Design and implement data pipelines using AWS services and PySpark.
- Develop and optimize SQL queries for data extraction and transformation.
- Monitor and maintain data workflows in Apache Airflow.
- Collaborate with data scientists and analysts to understand data requirements and ensure data quality.
- Troubleshoot and resolve data-related issues as they arise.
Required skills and qualifications:
- Proficiency in AWS services such as S3, Redshift, and Glue.
- Strong experience with PySpark and SQL.
- Familiarity with data processing frameworks and ETL processes.
- Knowledge of Apache Airflow for workflow management.
- Excellent problem-solving skills and attention to detail.
Experience required: 3-5 years in data engineering or a related field.
What we offer:
- Opportunity to work on innovative projects in a dynamic environment.
- Collaborative team culture with a focus on professional growth.
- Access to the latest tools and technologies in data engineering.
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.