Job Summary
The Associate Data Engineer assists with the sourcing, transformation, and analysis of data and developing ETL logic to support existing and future deployments.
Duties And Responsibilities
- Support sourcing, transformation, and analysis by assisting senior team members in development, maintenance, and deployment of data pipelines and ETL logic
- Assist in the sourcing, transformation, and analysis of data under the guidance of senior team members
- Support the development of ETL logic and pipelines for existing and future deployments
- Assist in the development and maintenance of data pipelines supporting a medallion architecture as part of the organization's data modernization initiatives
- Participate in technical data management functions including creating, loading, transforming, cleansing, processing, analyzing, and visualizing data
- Collaborate with teammates and business partners to help build technical solutions that are reusable, scalable, and maintainable across large datasets
- Develop and maintain working knowledge in data reporting, management, and transformation technologies
- Actively learn new and existing tools, resources, and processes
- Assist in the implementation of data architecture and solutions
- Develop and deliver code under supervision to support existing and future deployments
- Bachelor's degree in technology, engineering, a math-related field, or a related discipline with 0 years of experience required; or an equivalent combination of education and experience
- 0-2 years of experience working with data structures or in a related technical role
- Introductory exposure to algorithm design
- Some exposure to SQL Server, IDMC, Informatica PowerCenter, Snowflake, and/or Control-M
- Experience writing basic SQL queries and interpreting simple data models
- Experience using database modeling concepts
- Prior internship or academic project experience in a data-related field is a plus
- Basic knowledge of object-oriented analysis and design concepts
- Basic familiarity with ETL concepts and data integration principles
- Analytical and critical-thinking mindset with a desire to develop problem-solving skills
- Strong interpersonal communication skills, written and verbal
- Ability to collect, organize, and analyze information with attention to detail and accuracy
- Ability to manage multiple tasks and meet deadlines with guidance from senior team members
- Exhibits flexibility and a positive attitude toward ambiguity in a fast-paced, changing environment
- Results-oriented with a dedicated work ethic
- Perform other functions, duties and projects as assigned
- Regular and punctual attendance
- Minimal travel required (less than 10%)
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