Data Engineer - Hybrid/Platform Support

Responsibilities

• Design, develop, and maintain robust data integrations from various source systems into our Google Cloud Platform (GCP) environment.
• Design, develop, and maintain web application components and APIs using Python (particularly Django or similar frameworks), including backend and frontend development tasks, to support data access, integration, and visualization needs.
• Implement and continuously optimize query performance in BigQuery to ensure timely and efficient data retrieval for ETL/ELT processes and analytical purposes.
• Collaborate with cross-functional teams to understand their data requirements for ETL/ELT and reporting purposes and translate them into effective data models and BigQuery solutions.
• Monitor the health and performance of GCP infrastructure components and data solutions using tools like Datadog, ensuring expected behavior and reliability.
• Respond to and help troubleshoot alerts and incidents surfaced via monitoring systems and PagerDuty to minimize downtime and ensure data integrity.
• Utilize Git for version control and participate in CI/CD pipelines for data pipeline deployments.
• Stay current with best practices and emerging technologies in data integration, BigQuery optimization, and data quality management relevant to supporting applications in a cloud environment.
• What experience you need
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related subject.
• 3+ years of practical experience in data engineering or related fields, with a strong focus on Python and SQL (writing complex queries and optimizing performance).
• 2+ years of experience employing Python web development frameworks, such as Django, is required, along with a comprehensive understanding of backend, frontend, and full-stack development principles.
• 2+ years of hands-on experience with Google Cloud Platform (GCP) or Amazon Web Services (AWS) for data engineering tasks.
• 1+ years of experience with cloud infrastructure monitoring tools (e.g., Datadog, GCP Cloud Monitoring) and incident alerting platforms (e.g., PagerDuty).
• What could set you apart
• Conceptual understanding or at least 1 year of experience with Machine Learning concepts and their potential application in data processes.
• Proven experience developing and deploying Full Stack applications using Python and Django, including handling frontend components (e.g., using Django templates, integrating with simple JS, or potentially a lightweight frontend library if applicable).
• Familiarity with containerization technologies (e.g., Docker) and orchestration (e.g., Kubernetes) within a GCP context.
• Experience automating incident response procedures.
• Primary Location:
• CRI-Sabana
• Function:
• Function - Data and Analytics
• Schedule:
• Full time

Benefits

Additional Information

Equifax is seeking a skilled and motivated Data/Platform Engineer to support our cloud initiatives. This role offers an exciting opportunity to contribute to the efficiency of our operations, spending approximately 60% of your time on building and maintaining robust data pipelines and ensuring data quality within our Google Cloud Platform (GCP) environment, and 40% on Python-based web development tasks supporting data integration and application functionalities. You will work closely with cross-functional teams to develop and implement data solutions that support operational excellence.

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