Data Engineer for Scalable Data Infrastructure
hace 5 días
At Wallapop, we're driven by a purpose to empower people to adopt a more conscious and human way of consumption. Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.
The Challenge
We're looking for a talented Data Engineer to partner with our data teams and make high-impact decisions based on data. Your work will influence the future of Wallapop in many ways, shaping our data platforms and infrastructure to meet the demands of millions of users trading goods and services on our platform.
What You Will Do:
• Collaborate with data analysts, scientists, and engineers to provide fast and smooth access to data.
• Support day-to-day issues that may arise unexpectedly.
• Develop and maintain data models, warehouses, and lakes according to industry best practices.
• Optimize data infrastructure for concurrency, query performance, and storage efficiency.
• Implement high-quality, scalable data pipelines to integrate and provide access to diverse data sources.
• Develop and maintain data streaming/real-time solutions.
• Ensure thorough documentation and quality in both code and implementation.
• Drive testing, optimization, and tooling to enhance data quality.
• Elevate software development standards across data projects, including CI/CD, testing, code reviews, and cloud development environments.
• End-to-end monitoring and alerting, from infrastructure to business metrics.
• End-to-end data lineage and cataloging.
• Data warehouse transformation layer with dbt.
• Data lake standardization.
• Increase elasticity of data infrastructure, primarily the data warehouse.
What We're Looking For:
• Experience in data warehousing and data lake design patterns.
• Experience in both batch, streaming/real-time solutions.
• Advanced proficiency in distributed systems, database design, and big data technologies such as Spark, Beam, Flink, or Kafka.
Estimated Salary: €120,000 - €180,000 per year
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