3-5 years of experience in data engineering or software engineering with a strong focus on data platform development
Proven experience building and scaling modern data platforms and delivering high-impact data solutions
Strong communication skills and the ability to work closely with technical and non-technical partners
Passion for building reliable, accessible, and high-quality data products
Strong proficiency in Python and SQL
Experience with modern cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks)
Experience building batch pipelines using DAG-based orchestrators (e.g., Dagster, Airflow)
Experience with event-driven architectures using Kafka, Kinesis, or Event Hubs
Experience developing real-time or streaming pipelines using Apache Beam, Flink, or Spark Streaming
Experience deploying applications and services to Kubernetes and using tools such as ArgoCD, Helm or Istio
Experience implementing DevOps concepts within data workflows (CI/CD, observability, monitoring, lineage)
Experience with Infrastructure-as-Code (e.g., Terraform)