About this role
The team is seeking an experienced Data Engineer to join their Global Data team. In this role, you will play a critical part in building reliable, scalable, and self-service data platforms that support enterprise-wide analytics and data products.
Key Responsibilities:
- Design, develop, and optimize modern cloud-based data platforms and lakehouse architectures.
- Create and maintain distributed data pipelines to ensure efficient data flow and processing.
- Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
- Implement best practices for data management, governance, and security.
- Troubleshoot and resolve data-related issues in a timely manner.
Required Skills & Qualifications:
- Proven experience as a Data Engineer with 6-10 years of hands-on experience.
- Strong proficiency in cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure.
- Experience with data modeling, ETL processes, and data warehousing solutions.
- Proficiency in programming languages such as Python, SQL, or Java.
- Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus.
What we offer:
- Opportunity to work on innovative projects within a dynamic team.
- Professional growth and development opportunities.
- A collaborative and inclusive work environment.
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.