#21272_R-75324
WHAT YOU'LL WORK ON
You will be part of and leading a team of engineers building out tooling for our Consumer Product & Innovation team members. We are investing in building modular, configurable and "API-First" capabilities which will be consumed by modern web applications build with the most recent SPA frameworks. You are expected to help coordinate with other teams and provide guidance and coaching for more junior team members.
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