Data Platform Engineer
5 days ago
Data Engineers are the backbone of our data platform, ensuring that we have accurate and reliable data to make informed decisions. As a Senior Data Engineer on our Grubhub team, you will be responsible for designing, building, and maintaining large-scale data systems that enable us to derive value from our data at a rapid pace.
We're looking for a highly skilled engineer with 5+ years of experience in distributed systems, software engineering, and data engineering. You should have a strong background in cloud environments like AWS, with experience running, scaling, and deploying data pipelines and microservices in the cloud. Additionally, you should have expertise in data serialization formats like Avro, Parquet, Iceberg/Hudi/Delta, as well as programming languages like Python or Java/Scala and frameworks like Spark/Flink with high uptimes (4x9's uptime etc.).
The Role
In this role, you will work closely with product feature teams to enable them to create data pipelines and publish golden datasets. You will also educate and promote best practices around data engineering, use of data engineering architecture, and new technologies. Furthermore, you will coach and mentor engineers across the engineering team to build a data culture.
Requirements
To be successful in this role, you should have a Bachelor's Degree in a science, programming, or engineering-related field. You should also have 5+ years of experience in engineering, especially distributed systems, software engineering, and data engineering. Additionally, you should have experience working in a cloud environment like AWS, with experience running, scaling, and deploying data pipelines and microservices in the cloud. You should also have strong computer science fundamentals in data structures, algorithms, and data serialization formats like Avro, Parquet, Iceberg/Hudi/Delta.
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