Description

You will serve as a specialist focused on building data infrastructure and implementing the Fraud Analytics roadmap.

Responsibilities

• Design, build, and manage scalable data pipelines to support large-scale data integration.
• Develop and implement AI and machine learning models to automate business processes.
• Identify and 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.
• Collaborate with data analysts and scientists to provide necessary infrastructure and support.

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.
• Proven ability to work onsite in Austin, Texas.
• 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.
• Background in fraud analytics.

Key Skills

Education

Bachelor's or Master's degree in Computer Science