Data Engineer – Private Equity

Main Responsibilities

• Build Python data pipelines and query engines (to and from S3, Athena, and Snowflake)
• Write data science Python packages, modularise existing code scripts and build analytical utility functions
• Design and develop Python AWS proxy authentication
• Systematically update and store credentials in AWS Secrets Manager
• Implement AWS Command Line Interface (CLI) data science packages
• Build standard methods for data visualizations
• Build unit tests with robust test cases
• Write efficient SQL queries
• Interpret business requirements, either gathered or acquired
• Automate processes associated with models in the production and development of solutions for technology integration
• Work collaboratively in a global setting while learning new technologies
• Document solutions
• Implement or adhere to coding standards and best practices
• Perform quality checks and adhere to the agreed service level agreement (SLA)/turnaround time (TAT)

Required Background

• Bachelor’s/Master’s degree in Computer Science/Statistics or Engineering
• Strong skills in programming languages, such as Python, SQL, and Unix Shell
• Experience in building Python packages, OOP (object-oriented) programming and PEP8
• Experience in building unit tests and implementing test cases
• Experience in DevOps, AWS (S3, CLI, CD, CodeBuild, and CodePipeline), and Snowflake
• AWS experience and skills in S3, Athena, Secrets Manager, CodeBuild, CodeDeploy, and CodePipeline
• Excellent communication skills (both written and verbal)
• Knowledge or experience working in private equity (preferred)
• Excellent team player, adaptable and flexible with a zeal to learn
• High attention to detail, with the ability to work in a dynamic environment whilst maintaining high-quality standards and a natural aptitude to develop good internal working relationships
• Strong track record of excellent results delivered to internal and external clients
• Ability to work independently without the need for close supervision and work collaboratively as part of cross-team efforts
• Experience delivering projects in an agile environment