Key skills
ApacheAWSCloudDistributed SystemsGoogle Cloud PlatformJavaKafkaKubernetesPythonScalaSparkTerraformMachine LearningAgenticData EngineeringApache SparkApache KafkaGCPGoogle CloudWorkday
About this role
Role Overview
- Contribute to the ingestion, discoverability, governance, derivation, and serving of data for Workday's Classic Machine Learning and agentic initiatives.
- Working hands-on with technologies like Python, Spark, AWS Infra, Kafka, Terraform/Kubernetes, and Iceberg.
Requirements
- BSc or MSc in Computer Science/Computer Engineering or equivalent experience
- 7+ years of experience in Software Engineering, Distributed Systems or a related field
- 4+ years proficiency in at least two of the following programming languages: Java, Scala, Python
- 4+ years in data engineering or related field(s)
- Working knowledge of cloud-based infrastructure and managed services (AWS, GCP)
- Experience with at least one of these data engineering technologies: Apache Spark, Apache Iceberg, Apache Avro, Apache Kafka, Apache Flink
Tech Stack
- Apache
- AWS
- Cloud
- Distributed Systems
- Google Cloud Platform
- Java
- Kafka
- Kubernetes
- Python
- Scala
- Spark
- Terraform
Benefits
- Flexible work arrangements
- Professional development opportunities
- Paid time off