Data Engineer ll

Reposted Yesterday
Be an Early Applicant
Cartago, El Guarco, El Tejar, Sabana
In-Office
Mid level
Fintech • Consulting
The Role
Design and implement data models, create visualizations, analyze data for insights, and improve BI processes. Engage with technical and non-technical stakeholders regarding data insights.
Summary Generated by Built In

The Data and Visualization team is looking for a Data Engineer with a strong background in Python Machine Learning. This person should have a dual interest in data analysis and experience with dashboard reporting and development. The ideal candidate will possess a deep understanding of Machine Learning, Data Modeling, SQL, Python, and cloud-based data solutions.

What you’ll do

  • Design and implement robust data models and architectures, ensuring data quality, scalability, and performance. This involves working with data warehouses, data lakes (cloud-based), 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.

  • Lead key efforts in data interpretation and trending. Perform data analysis and deliver insights from large datasets to drive business decisions and growth.

What experience you need 

  • Data Storytelling & Communication: 2+ years of experience demonstrating exceptional communication and presentation skills, effectively translating complex data insights to both technical and non-technical stakeholders.

  • Data Visualization & BI: 2+ years of hands-on experience with leading data visualization tools, including Tableau, Looker, or Power BI.

  • Cloud & Advanced SQL: 2+ years of proficiency in Advanced SQL and managing data within cloud-based data lakes (e.g., BigQuery, Snowflake, AWS Redshift).

  • Machine Learning & Modeling: 2+ years of experience developing and implementing machine learning models using Python or SQL, complemented by a solid foundation in data modeling techniques.

  • Version Control: Proficient usage of Git for version control and regular contribution to team repositories.

  • Language: English proficiency at B2+ level or above.

What could set you apart

  • Business Intelligence Certifications: Tableau Desktop Specialist, Tableau Server Certified Associate, or Power BI Data Analyst Associate. 

  • Google Cloud and Big Data Competency

Primary Location:

CRI-Sabana

Function:

Function - Data and Analytics

Schedule:

Full time

Top Skills

Aws Redshift
BigQuery
Git
Looker
Machine Learning
Power BI
Python
Snowflake
SQL
Tableau
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The Company
HQ: Atlanta, GA
16,742 Employees

What We Do

At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward.

Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region.

For more information, visit Equifax.com.

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