Role Overview
The Argus Data Engineering Team is responsible for designing, developing, maintaining, and supporting enterprise-grade data pipelines and data products. This role is critical in building and maintaining data platforms and pipelines that enable analytics, reporting, machine learning, and business intelligence initiatives. This is a hybrid position requiring in-person presence at an assigned office for a minimum of two days a week.
Responsibilities
- Design, develop, and maintain robust data pipelines using Python, SQL, and cloud-native technologies.
- Build and support data engineering solutions for cross-functional teams including EDM, APM, Data Science, and Analytics.
- Develop scalable ETL/ELT processes to ingest, transform, and deliver data from multiple internal and external sources.
- Create and manage workflow orchestration processes using Apache Airflow to ensure reliable and automated data movement.
- Monitor pipeline performance, troubleshoot issues, and implement improvements to ensure data integrity and system reliability.
- Collaborate with business stakeholders, data scientists, analysts, and engineering teams to understand data requirements.
- Implement best practices for data governance, security, performance optimization, and operational excellence.
- Contribute to cloud-based architecture design and continuous improvement initiatives across AWS and GCP environments.
- Support Agile development processes including sprint planning and delivery activities.
Requirements
- 3-4 years of Data Engineering experience building and supporting enterprise-scale data pipelines.
- Strong Python and SQL expertise.
- Experience with Apache Airflow for workflow orchestration.
- Multi-cloud experience with AWS (Amazon Web Services) and GCP (Google Cloud Platform).
- Experience with data warehousing, ETL/ELT frameworks, and large-scale data processing.
- Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical field.
Skills
- Python
- SQL
- Apache Airflow
- AWS
- GCP