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Tier-1 brand, metro location, mid-level generalist big-data role with broad skill requirements.
Big-data and cloud engineering skills transfer broadly, though advertising domain experience is advantageous.
Mandatory 4+ years plus specific big-data, cloud, and orchestration technologies required.
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Develop and own features of large-scale, cloud-native big data applications for real-time and batch processing supporting advertising audience targeting.
Contribute to architecture, design, implementation, testing, and performance optimization of big data infrastructure using Java, Scala, Python, and cloud managed services.
Collaborate within Agile teams to deliver high-quality, scalable, fault-tolerant data platforms and troubleshoot production issues end-to-end.
Bachelor's degree in Computer Science, Engineering, or related technical field.
4+ years of experience in big data application development using Java, Scala, and Python in large enterprise environments.
Experience with big data technologies such as Spark, Flink, Kafka, AWS big data services, relational and NoSQL databases, and event streaming platforms.
Experience with cloud infrastructure technologies including Terraform, Kubernetes, Spinnaker, IAM, and load balancers.
Has pragmatic experience designing scalable, secure, cloud-based big data systems with strong ownership over feature development and delivery.
Familiar with modern data engineering toolsets like Databricks, Snowflake, Airflow, Docker, Kubernetes, and real-time streaming architectures.
Comfortable working in fast-moving, Agile environments and able to collaborate across teams including product managers and vendor partners.