Analytics Engineer
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Job Description
Analytics Engineer developing scalable Python-based data pipelines for fraud analytics at Experian. Collaborating with data scientists and engineers for continuous improvement of the analytics ecosystem.
Responsibilities:
- Build scalable Python-based data pipelines and backend services for analytics workflows.
- Design software systems using object-oriented programming and sound engineering practices.
- Create and support platforms that allow analytics development, model training, and model deployment.
- Implement and maintain CI/CD pipelines and infrastructure-as-code solutions for automated deployments.
- Manage cloud and on-premises analytics environments, including AWS infrastructure and security controls.
- Monitor, troubleshoot, and improve data pipelines, platform performance, and system reliability.
- Support machine learning and fraud modeling workflows, including feature engineering and model deployment.
- Implement new technologies, including AI-based solutions, to improve platform efficiency and stability.
Requirements:
- 3+ years of experience in data science, analytics, data engineering, or a related field.
- Bachelor's or advanced degree in Statistics, Applied Mathematics, Econometrics, or another quantitative field; equivalent experience considered.
- Experience developing applications and data pipelines using Python, including PySpark, Polars, NumPy, and Pandas.
- Familiarity with Java and object-oriented programming concepts.
- Experience building, deploying, and supporting production systems and data platforms.
- Experience with AWS services such as EC2, EMR, and Airflow, including cloud security best practices.
- Experience with machine learning workflows and analytics model development environments.
- Experience with CI/CD processes, Infrastructure as Code, containerization tools, and UNIX/Linux environments.
Benefits:
- Great compensation package and bonus plan.
- Core benefits including medical, dental, vision, and matching 401K.
- Flexible work environment, ability to work remote, hybrid or in-office.
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.
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