About this role
The team is seeking a highly skilled Data Engineer with strong expertise in building scalable and efficient data solutions on Google Cloud Platform (GCP). The ideal candidate should have hands-on experience in developing robust ETL pipelines, working with BigQuery, and implementing enterprise-grade data warehousing solutions.
Key Responsibilities:
- Design, develop, and maintain data pipelines using Dataflow and Airflow.
- Build and optimize data models in BigQuery for analytical purposes.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
- Ensure data quality and integrity throughout the data lifecycle.
- Implement best practices for data governance and security.
Required Skills & Qualifications:
- Proficient in Python and SQL for data manipulation and analysis.
- Strong experience with GCP services, particularly BigQuery, Dataflow, and Airflow.
- Familiarity with data warehousing concepts and ETL processes.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication skills to collaborate with cross-functional teams.
Experience:
- 5-8 years of experience in data engineering or related fields.
What we offer:
- A dynamic work environment with opportunities for professional growth.
- Hybrid work model with flexibility in work location.
- Collaborative culture that values innovation and teamwork.
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.