Data Engineer
Core
Design, develop, and maintain modern data pipelines and data products to collect, process, and structure large volumes of data from various sources.
Role type
Senior Data Engineer
Builds
Modern data pipelines, data products, and scalable data solutions
Domain
Data Engineering, Cloud Platforms, AI/ML Infrastructure
Deliverable
production ML models
Required skills
Python, PySpark, Microsoft Fabric, ETL, Data Modeling, Airflow, Delta Tables, Apache Iceberg, S3, CI/CD, Data Quality Frameworks
Preferred skills
Machine Learning, AI Engineering, RAG pipelines
Technologies
Python, PySpark, Microsoft Fabric, Airflow, Delta Tables, Apache Iceberg, AWS, Azure, GCP
Responsibilities
Design and develop data pipelines and products; Work with data modeling and ETL processes; Develop solutions using Python, PySpark, and Microsoft Fabric; Build automated data flows with Airflow; Ensure data quality through testing frameworks; Collaborate on Machine Learning and AI Engineering solutions.
Seniority
Senior, hands-on IC
