Key skills
Amazon RedshiftAWSETLKafkaKubernetesPythonSparkTerraformAIMLELTData WarehousingAnalyticsRedshiftGlueKinesis
About this role
Role Overview
- Architect scalable ETL/ELT pipelines using Python and AWS services
- Drive the evolution of data architecture for future AI/ML demands
- Collaborate with Engineering, Product, and Business teams
- Define and drive data quality frameworks and automated testing
- Implement best practices for data modeling and privacy (GDPR)
- Mentor engineers and shape team practices
Requirements
- Solid experience building scalable data systems
- Deep understanding of data warehousing and governance
- Hands-on expertise with Spark, Python and AWS (EMR, Redshift, Glue)
- Experience with streaming technologies (Kafka, Kinesis)
- Experience with Infrastructure as Code (Terraform, Kubernetes) is a plus
- A background in data-driven product experimentation or analytics is a plus
- Experience contributing directly to organizational data strategy is a plus
Tech Stack
- Amazon Redshift
- AWS
- ETL
- Kafka
- Kubernetes
- Python
- Spark
- Terraform
Benefits
- Flexible "business hours"