About this role
The team is seeking a skilled Data Engineer to join their dynamic team. The ideal candidate will have a strong foundation in data engineering principles and a passion for building robust data pipelines.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using Python and AWS services.
- Create and manage Airflow DAGs for efficient scheduling and orchestration of data workflows.
- Utilize Unix commands and shell scripting for data manipulation and automation tasks.
- Write efficient SQL scripts for data extraction, transformation, and loading (ETL).
- Analyze complex data sets to identify trends and resolve issues effectively.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
Required Skills & Qualifications:
- Strong proficiency in Python with practical coding experience.
- Comprehensive knowledge of AWS services and their applications in data engineering.
- Experience with Apache Airflow for workflow management.
- Solid command of Unix commands and shell scripting.
- Proficient in writing SQL scripts and performing data analysis.
- Exceptional analytical and troubleshooting skills.
Experience:
- Minimum of 5 to 8 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work with cutting-edge technologies in a collaborative environment.
- Professional development and career growth opportunities.
- A dynamic and inclusive workplace 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.