Job Description
Data Engineer (Scala | Spark | Azure)
We are seeking a Scala and Spark–focused Data Engineer with around 6 years of experience to join our data platform team. This is a hands-on role focused on building, optimizing, and operating scalable batch and streaming data pipelines on Azure.
You will work closely with engineering, analytics, and product teams to design reliable data systems and evolve our data architecture to support current and future data initiatives. This role suits someone comfortable owning production pipelines and working deeply with distributed systems.
Responsibilities
- Design, build, and maintain scalable data pipelines using Scala and Apache Spark
- Develop and optimize batch and streaming data processing solutions
- Build, operate, and support data platforms on Azure
- Implement and maintain streaming pipelines using Kafka and Spark Structured Streaming
- Optimize Spark workloads for performance, cost, and reliability
- Develop robust ETL ...
We are seeking a Scala and Spark–focused Data Engineer with around 6 years of experience to join our data platform team. This is a hands-on role focused on building, optimizing, and operating scalable batch and streaming data pipelines on Azure.
You will work closely with engineering, analytics, and product teams to design reliable data systems and evolve our data architecture to support current and future data initiatives. This role suits someone comfortable owning production pipelines and working deeply with distributed systems.
Responsibilities
- Design, build, and maintain scalable data pipelines using Scala and Apache Spark
- Develop and optimize batch and streaming data processing solutions
- Build, operate, and support data platforms on Azure
- Implement and maintain streaming pipelines using Kafka and Spark Structured Streaming
- Optimize Spark workloads for performance, cost, and reliability
- Develop robust ETL ...
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