
Senior Data Infrastructure Engineer
2 days ago
We're on the hunt for a seasoned data infrastructure engineer to join our team and help us scale our data platform. If you have 10+ years of experience in building large-scale data platforms, this could be the perfect opportunity for you.
Job DescriptionAs a Senior Data Infrastructure Engineer, you'll be responsible for designing and scaling our data platform to support growing data needs across analytics, ML, and reporting. You'll lead improvements in data processing and serving layers, leveraging Databricks Spark, Trino, and Superset.
Key Responsibilities:- Design and scale data ingestion pipelines using Debezium, Kafka (Confluent), Databricks Spark, and Flink.
- Lead improvements in data processing and serving layers, leveraging Databricks Spark, Trino, and Superset.
- Collaborate with engineering, analytics, and business teams to identify opportunities and build / enhance self-serve data platforms.
To succeed in this role, you'll need:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- 10+ years of experience in building large-scale data platforms.
- Expertise in big data architectures using Databricks, Trino, and Debezium.
- Strong experience with streaming platforms, including Confluent Kafka.
You'll have the chance to work with open-source communities, contribute to OSS projects aligned with our tech stack, and implement cost-efficient, scalable architectures for handling 10B+ daily events in a cloud environment.
This is a high-impact role requiring innovation, engineering excellence, and system stability. If you're up for the challenge, we'd love to hear from you
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