About this role
The team is seeking a skilled Data Engineer with expertise in Spark to join their Data Platform team. In this role, you will be responsible for building and maintaining scalable data systems that support internal analytics, business intelligence, and customer-facing data features. You will play a crucial role in developing reliable data pipelines across various layers of the data platform, including data ingestion, distributed processing, transformation, and data serving.
Key Responsibilities:
- Design, build, and maintain robust data pipelines to ensure efficient data flow.
- Collaborate with product engineers, analysts, and platform teams to understand data requirements and deliver solutions.
- Optimize data processing workflows for performance and scalability.
- Monitor and troubleshoot data pipeline issues to ensure data integrity and availability.
- Implement best practices for data management and governance.
Required Skills & Qualifications:
- Proficiency in Spark and experience with big data technologies.
- Strong programming skills in languages such as Python, Java, or Scala.
- Experience with data warehousing solutions and ETL processes.
- Familiarity with cloud platforms like AWS or Azure.
- Ability to work collaboratively in a team-oriented environment.
Experience:
- 5-8 years of relevant experience in data engineering or a related field.
What we offer:
The team provides a dynamic work environment, opportunities for professional growth, and a chance to work on innovative projects that impact their business and customers.
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.