Data Engineer
Core
Design, develop, and maintain enterprise-grade data pipelines and platforms to enable analytics, reporting, and machine learning initiatives across the Argus organization.
Role type
Senior Data Engineer (Cloud/ETL)
Builds
Scalable ETL/ELT processes, data pipelines, and cloud-native data solutions for AWS and GCP environments.
Domain
Financial services / Enterprise Data Engineering
Required skills
Python, SQL, Apache Airflow, AWS, GCP, ETL/ELT frameworks, Git, Agile methodologies
Preferred skills
AI/ML technologies, big data/streaming technologies, data governance, Infrastructure as Code (IaC), CI/CD pipelines
Responsibilities
Design and maintain robust data pipelines; build data engineering solutions for cross-functional teams; develop scalable ETL/ELT processes; create and manage workflow orchestration with Apache Airflow; monitor pipeline performance and troubleshoot issues; collaborate with stakeholders to understand data requirements; implement data governance and security best practices; participate in code reviews and deployment activities.
Seniority
Mid-Senior, hands-on IC
