Data Engineer - Intermediate

Responsibilities

• Design and implement robust data models and architectures, ensuring data quality, scalability, and performance.
• Manage project progress, metadata collection, development, and management with moderate supervision.
• Create compelling data visualizations that effectively communicate insights to both technical and non-technical audiences, adhering to data visualization best practices and design principles.
• Lead key efforts in data interpretation, trend identification, and analysis of large datasets to drive business decisions and growth.
• Design and implement robust data models and architectures, ensuring data quality, scalability, and performance. This may involve working with data warehouses, data lakes (Cloud) , and various data sources.
• Create compelling data visualizations that effectively communicate insights to both technical and non-technical audiences, adhering to data visualization best practices and design principles.
• Continuously explore new technologies and techniques to improve BI processes and deliver innovative solutions.
• What experience you need
• 2+ years of experience as a data engineer or related role.
• 2+ years advanced SQL, and cloud-based data lakes (e.g., BigQuery, Snowflake, AWS Redshift).
• Strong hands-on experience with Python data manipulation libraries, specifically Pandas and NumPy.
• 1+ years of experience developing and implementing machine learning models using Python or SQL, with a solid foundation in data modeling techniques.
• 2+ years of experience with data visualization tools (Looker as a primary priority, Tableau, or Power BI).
• 2+ years of experience demonstrating exceptional communication, presentation, and data storytelling skills, effectively conveying insights to both technical and non-technical audiences.
• Basic understanding and experience with Google Cloud Platforms.
• Demonstrates proficient Git usage and contributes to team repositories.
• Minimum English proficiency B2
• What could set you apart
• Knowledge and experience developing or implementing Machine Learning (ML) models using Python, BigQuery ML, Vertex AI, etc.
• Cloud certification is strongly preferred.
• Business Intelligence Certifications: Tableau Desktop Specialist, Tableau Server Certified Associate, or Power BI Data Analyst Associate.
• Primary Location:
• CRI-Sabana
• Function:
• Function - Data and Analytics
• Schedule:
• Full time

Benefits

Additional Information

The Data and Visualization team is looking for a Data Engineer with a strong analytical focus. This position is ideal for a professional who enjoys technology and has a genuine interest in both data development and dashboard reporting/development. The ideal candidate will act as a bridge between data engineering and business intelligence, ensuring that information is transformed into actionable strategic decisions.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at equifax? Share your experience