Data Engineer
Core
Design, build, and maintain scalable data infrastructure, pipelines, and platforms for data collection, storage, transformation, and analysis.
Role type
Data Engineer
Builds
Data pipelines, data models, applications, data warehouses, data lakes, and data lakehouses
Domain
Cloud data engineering and analytics
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, PySpark, Terraform, Airflow, API Development, Node.js, Cloud SQL, BigQuery, Dataflow, Dataproc, Data Fusion, Tekton, PostgreSQL, GCP
Preferred skills
None stated
Technologies
Google Cloud Platform, BigQuery, Dataflow, Dataproc, Data Fusion, Cloud SQL, Airflow, Terraform, Tekton, PySpark, PostgreSQL, GitHub, Node.js
Responsibilities
Collaborate with stakeholders to understand data requirements; Design and implement data platforms; Develop analytical tools and automation scripts; Ensure optimum performance of data solutions.
Seniority
Mid-level (4+ years experience)