Senior Data Engineer

Summary

Join Wizeline, a global digital services company, and contribute to building, scaling, and delivering high-quality digital products and services for mid-size to Fortune 500 companies. We focus on human-centered experiences, digital core modernization, and AI/ML. This role requires proficiency in Python, Databricks, Azure DevOps, Git, and SQL. Experience with Azure Data Lake, Kubernetes, and Terraform is desirable. We prioritize a diverse and inclusive culture, offering opportunities for professional development and growth through our Wizeline Academy.

Requirements

• Proficiency in Python for data processing and analysis
• Experience with Databricks for large-scale data processing
• CI/CD pipelines, ideally using Azure DevOps
• Version control with Git
• Cloud computing, with a focus on Microsoft Azure
• SQL for database interactions and data transformations
• Adaptability and agility in a fast-paced, evolving business environment
• Strong knowledge and experience in identifying and resolving data quality issues

Preferred Qualifications

• .NET (C#) development
• Experience with Azure Data Lake
• Kubernetes for container orchestration
• Monitoring and alerting systems
• Infrastructure as Code (e.g., Terraform)
• Knowledge of financial or FinTech domains, particularly in regulatory reporting
• Familiarity with various data domains in the financial industry

Benefits

• Opportunities to create personalized career paths and develop in-demand skills
• Free education program, Wizeline Academy, to help both employees and the broader community upskill in tech