Are you a Data Engineer with strong DBT experience looking to work on large-scale, high-impact data platforms?
We are looking for a modern data engineer who operates in a cloud-native, data-as-code environment built on AWS , with a focus on scalable and real-time data processing.
The ideal candidate has hands-on experience with DBT for transformations, Apache Airflow for orchestration, and Python for building production-grade data pipelines. Experience with modern streaming technologies such as Kafka , Spark , or Flink is a strong advantage.
This role suits engineers who think like software developers—comfortable with version control, CI/CD, testing, and distributed systems—rather than traditional ETL or legacy data warehouse practitioners.