DATA ENGINEER
Core
Design, develop, and maintain large-scale data pipelines for ingestion and transformation; build and optimize scalable data architectures (data warehouse, data lake).
Role type
Mid-level Data Engineer
Builds
Scalable data architectures and distributed data processing pipelines
Domain
IT consulting, Data Engineering
Required skills
Python, Scala, Apache Spark, SQL, Cloud platforms (AWS, GCP, Azure), Git
Preferred skills
Databricks, Airflow, Kafka, Docker, Kubernetes, CI/CD
Responsibilities
Design and maintain data pipelines for ingestion and transformation; Build and optimize scalable data architectures; Develop distributed data processing processes using Spark; Ensure data quality, reliability, and governance; Collaborate with Data Analysts, Data Scientists, and product teams; Contribute to defining team best practices and technical standards.
