Data Engineer
Core
Design, build, and maintain scalable data pipelines and integrations to support data-driven business decisions.
Role type
Data Engineer
Builds
Scalable data pipelines, data integrations, and data models
Domain
Data Engineering / Cloud Technologies
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, ETL workflows, cloud platforms (AWS/Azure/GCP), data modeling, infrastructure as code, data governance, cost optimization
Preferred skills
Big data concepts, data quality improvement, automation scripting
Technologies
AWS, Azure, Google Cloud, SQL, Python
Responsibilities
Develop and manage scalable data pipelines; Implement processes to improve data quality and accuracy; Create scripts to automate repetitive tasks; Build and maintain data integrations (file, messaging, API); Develop data models tailored to business requirements; Contribute to implementing infrastructure as code solutions; Enhance performance of existing data pipelines; Implement security measures and ensure compliance with data governance policies; Monitor cost efficiency and identify optimization areas
Seniority
Mid-level, hands-on IC
