Data Engineer I

at  Comerica

DATA ENGINEER I

A Data Engineer I works alongside senior Data Engineers, Information Architects, Data Scientists, and other stakeholders to design and maintain small to moderate data models. The Data Engineer I is responsible for day-to-day monitoring and maintaining small to medium-scale databases that support web applications and other digital services. The Data Engineer I is responsible for supporting reports that provide accurate and timely data for internal and external clients. The incumbent will assist with advancing a data infrastructure that powers our ability to make timely and data-driven decision. This role requires an entry-level familiarity of data architecture and extraction & manipulation of data sets of small to medium sizes.

POSITION QUALIFICATIONS:

• Bachelor’s Degree from an accredited university in Computer Science, Engineering or in a Technology related field OR equivalent through a combination of education and/or technology experience OR 12 years of technology experience
• 4 years of experience in Data Engineering, BI Engineering or related field in architecting and developing end-to-end scalable data applications and data pipelines
• 4 years of development experience in extracting, transforming/manipulating, and loading data sets of various sizes using Informatica IICS cloud or Snowflake and experience using CI/CD automation, Jenkins etc.
• 4 years of experience using programming languages Python and querying languages (SQL)
• 4 years of working knowledge of different databases (e.g., SQL & NoSQL)
• 3 years of experience developing strong collaborative relationships with key partners in data engineering, business intelligence, software development, finance, modelling, and product teams
• 2 years of experience working with software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes and testing
• 2 years of experience using AWS or Azure cloud technologies leveraging S3, Lambda, EC2 resources