Description

You will build scalable data infrastructure and implement the Fraud Analytics roadmap.

This role is on-site.

Responsibilities

• Design, build, and manage scalable data pipelines for large-scale data integration.
• Develop and implement AI and machine learning models to automate business processes.
• Extract information from diverse data sources while ensuring data quality and integrity.
• Establish data engineering best practices for governance, quality, and security.
• Optimize pipelines for performance and troubleshoot complex data-related issues.

Required Skills

• 10+ years of experience designing and managing efficient, scalable data pipelines.
• Expert-level SQL for querying, transformation, and database management.
• Strong proficiency in Python for data manipulation and pipeline development.
• Significant experience with Databricks on Azure for big data processing.
• Bachelor's or Master's degree in Computer Science, Data Science, or Engineering.

Preferred Skills

• Experience with Spark, Hadoop, or Kafka.
• Knowledge of Azure cloud-based data services and data warehousing.
• Familiarity with Python machine learning libraries like scikit-learn, TensorFlow, or PyTorch.

Key Skills

Education

Bachelor's or Master's degree in Computer Science