Morgan Stanley

Data Engineer

• Plan, design and contribute towards database development (Data Warehousing, ETL) and engineering activities
• Support infrastructure related upgrades involving database and other environments
• Develop and support Data Ingestion Framework using Spark, Python, Databricks, Snowpipe
• Implement DevOps techniques and practices (CI/CD, Test Automation, Build Automation, TDD) to enable rapid delivery using tools like Git
• Craft data pipelines, implement data models, and optimize data processes for improved accuracy and accessibility
• Apply machine learning and AI-based techniques to data engineering solutions
• Provide specialist data analysis and expertise to drive decision-making and business insights
• Work as part of the Credit Risk - Data Infrastructure team in Risk Tech, at Vice President (Lead Data & Analytics Engineering) level

Senior Data Engineering Specialist