About this role
The team is seeking a Lead Data Engineer with a robust background in data engineering to join their team. The ideal candidate will have hands-on experience in building data pipelines, performing data transformations, and working with cloud-based data tools.
Key Responsibilities:
- Design and implement scalable data pipelines using DBT, Python, and Pyspark.
- Perform data transformations and ensure data quality and integrity.
- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
- Develop and maintain data models that support business analytics and reporting needs.
- Optimize SQL queries for performance and efficiency.
- Stay updated with the latest trends and technologies in data engineering and cloud computing.
Required Skills & Qualifications:
- Strong proficiency in DBT, Python, Pyspark, and SQL.
- Solid understanding of data modeling concepts and best practices.
- Experience with cloud platforms, preferably GCP.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Experience:
- 8-10 years of relevant experience in data engineering roles.
What we offer:
- Opportunity to work in a dynamic environment with cutting-edge technologies.
- Career growth and development opportunities.
- 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.