Global Research: Data Engineer – Python

We are looking for a dynamic, energetic individual with strong attention to detail and multitasking ability to be part of our Research Modernization team.

 

Job Summary

As a Data Engineer within our team, you will bring your dynamic energy, strong attention to detail, and ability to multitask to our Research Modernization team within Global Research. In this role, you will have the opportunity to be highly organized, proactive, and flexible. Your keen attention to detail, strong communication skills, and sense of urgency will be highly valued.

 

Job Responsibilities

Work with Research Analysts to understand their data needs and translate their requirements into data/information solutions and data products. Design, develop, and maintain robust data pipelines and ETL processes to support data integration and analytics. Build, deploy, and maintain web crawlers at scale to capture publicly available datasets. Create, productionize, and store enhanced and original datasets; improve data analysis and discovery tools; model the data with a focus on ease of storage, retrieval, and usability. Monitor and troubleshoot data pipeline performance and reliability issues in a timely manner. Identify opportunities for process improvement and develop policies for data access and governance. Automate publication and analytics workflows for Research Analysts. Ensure data quality and integrity through effective validation and testing processes. Research and analyze datasets using a variety of analytical techniques in Python, Tableau, Excel, etc.

Required qualifications, capabilities, and skills

Bachelor’s degree in engineering, computer science, information technology, or other data science/analytics fields. Minimum 1 year of experience in data analysis, automation, and web crawling using Python. Strong knowledge of Python and relevant packages for data handling and manipulation. It is essential that the candidate has hands-on experience in Python programming and in-depth knowledge of libraries like Pandas and NumPy. Understanding of essential libraries for web scraping, such as BeautifulSoup and Selenium. Strong background in data structures, algorithms, and data engineering, with experience in multiple data/technology platforms. Experience with SQL and database technologies. Strong analytical and problem solving skills. Excellent communication, presentation, interpersonal, and organizational skills. Detail-oriented, with a highly disciplined approach to processes and controls.

Preferred qualifications, capabilities, and skills

Demonstrable interest in finance and research.