Data Engineer I

PAR Technology • Markham, ON

1d • Remote

About The Position

We are looking for a Data Engineer that will play a critical role in shaping our data innovations. They will help create cutting-edge Big Data solutions by leveraging their prior industrial experience. This role requires close collaboration with the Machine Learning, Software Engineering, and Product Departments where you will be given the opportunity to not only serve internal teams, but also our business clients.

Requirements

• 3+ years of experience as a Data engineering professional, developing scalable big data solutions
• Degree in Computer Science, Engineering, or other related fields
• Demonstrated strength in data modelling and SQL within a Lakehouse architecture
• Knowledge of cloud technologies, preferably AWS
• Knowledge of big data technologies and programming language (Python), relational databases (Postgres, MySQL), NoSQL (MongoDB), and streaming (Kafka, Spark)
• Must have PySpark and Spark Streaming experience
• Must have Databricks experience
• Excellent software engineering background with high familiarity with the software development lifecycle
• Familiarity with GitHub and version control best practices
• Strong problem-solving skills with demonstrated rigor in building and maintaining a complex data pipeline
• Good communication skills and ability to articulate complex concepts with thoughtful, actionable recommendations

Responsibilities

• Work with large data sets and implement sophisticated data pipelines with both structured and semi-structured data
• Collaborate with stakeholders to design scalable solutions
• Manage and optimize our internal data pipeline that supports marketing, customer success and data science
• Focus on ingesting, storing, processing, and analyzing large datasets
• Be a technical contributor to PAR’s big data platform that supports AI and BI products
• Work with infra and operations teams to monitor and optimize existing infrastructure
• Develop and implement pipelines that extract, transform, and load data into information products that help the organization reach its strategic goals
• Help define data governance policies and support data-versioning processes
• Leverage AI tools to streamline data pipeline development, accelerate root-cause analysis, and automate routine data quality checks to improve engineering efficiency

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level