Data Engineer I, ITC

Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent combination of education

1-2+ years of hands-on experience in data engineering, software development, or related technical roles

Foundational proficiency in SQL for data querying and manipulation, with basic working knowledge of Python for data processing, scripting, and automation tasks

Exposure to Spark or similar distributed data processing frameworks, with understanding of big data concepts and parallel computing principles

Familiarity with at least one major cloud platform (AWS, Azure, Databricks, or Snowflake) and understanding of cloud-based data storage and processing services.

Basic understanding of data modeling, ETL/ELT processes, and data pipeline fundamentals, with awareness of data streaming technologies and real-time data processing concepts

Knowledge of version control systems (Git), CI/CD concepts, and DevOps practices related to data engineering workflows and automated deployment pipelines.

Exposure to REST API development and data service integration, with understanding of microservices architecture concepts and basic architectural design patterns

Awareness of data visualization concepts and dashboard design principles; experience with frameworks such as React, Vue.js, or Angular is a plus.

• Strong problem-solving skills, collaborative mindset, and ability to work effectively in highly collaborative environments with demonstrated learning agility and attention to detail