Senior Data Engineer

🕒 June 3

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PAR Technology

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1982

🏢 Enterprise

☁️ SaaS

Hospitality • Enterprise • SaaS

PAR Technology is a company that provides a comprehensive suite of technology solutions aimed at the restaurant and hospitality industries. Their offerings include point of sale (POS) systems, digital ordering platforms, payment services, and customer loyalty solutions. PAR Technology aims to streamline restaurant operations through cloud-based technologies that improve speed of service, reduce wait times, and enhance the overall guest experience. They cater to various settings such as quick service, fast-casual, cinemas, casinos, theme parks, hospitality establishments, and convenience stores. By integrating various processes from front of house to back of house, PAR Technology supports a unified commerce experience for enterprises and businesses aspiring for growth.

📋 Description

• 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 leader of 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 • Occasional business trips are required • Leverage AI tools to streamline data pipeline development, generate data insights, and automate reporting to accelerate engineering productivity and decision-making

🎯 Requirements

• 5+ years of experience as a Sr Data engineering professional, developing scalable big data solutions • Advanced degree in Computer Science, Engineering, or other related fields • Demonstrated strength in data modelling and SQL within a Lakehouse architecture • Extensive knowledge of cloud technologies, e.g. AWS and Azure • Advanced knowledge of big data technologies and programming languages (Python, Java), 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 complex data pipelines • Exceptional communication skills and ability to articulate complex concepts with thoughtful, actionable recommendations

🏖️ Benefits

• Equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, or genetics • Reasonable accommodations to individuals with disabilities