PAR Technology Corporation
Technology
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at PAR Technology Corporation. Skills: Data Engineering, Big Data, Data Pipelines, Cloud Technologies. Work with large data sets. Implement sophisticated data pipelines”
What You'll Achieve.
Accelerate engineering productivity; Accelerate decision-making
Industry & Context.
Problem-solving skills; Demonstrated rigor
Occasional business trips
What They're Looking For.
Must Have
5+ years data engineering experience, Advanced degree in Computer Science, Advanced degree in Engineering, Demonstrated strength in data modelling, Demonstrated strength in SQL, Experience in Lakehouse architecture, Extensive knowledge of AWS, Extensive knowledge of Azure, Advanced knowledge of big data technologies, Advanced knowledge of Python, Advanced knowledge of Java, Advanced knowledge of relational databases, Advanced knowledge of Postgres, Advanced knowledge of MySQL, Advanced knowledge of NoSQL, Advanced knowledge of MongoDB, Advanced knowledge of streaming, Advanced knowledge of Kafka, Advanced knowledge of Spark, Must have PySpark experience, Must have Spark Streaming experience, Must have Databricks experience, Excellent software engineering background, High familiarity with software development lifecycle, Familiarity with GitHub, Familiarity with version control best practices, Problem-solving skills, Rigor in building data pipelines, Rigor in maintaining data pipelines, Exceptional communication skills
Nice to Have
PhD preferred
What You'll Do.
Work with large data sets
Implement sophisticated data pipelines
Collaborate with stakeholders to design scalable solutions
Manage internal data pipeline
Optimize internal data pipeline
Focus on ingesting large datasets
Focus on storing large datasets
Focus on processing large datasets
Focus on analyzing large datasets
Be a technical leader of PAR’s big data
Work with infra and operations teams
Monitor existing infrastructure
Optimize existing infrastructure
Develop pipelines that extract data
Develop pipelines that transform data
Develop pipelines that load data
Implement pipelines that extract data
Implement pipelines that transform data
Implement pipelines that load data
Help define data governance policies
Support data-versioning processes
Leverage AI tools to streamline data pipeline development
Leverage AI tools to generate data insights
Leverage AI tools to automate reporting
How You'll Work.
Team & Collaboration
Collaboration with Machine Learning; Collaboration with Software Engineering; Collaboration with Product Departments; Work with infra and operations teams
Communication Scope
Articulate complex concepts
Full Job Description
For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com http://partech.com or connect with us on LinkedIn https://www.linkedin.com/company/partechnology/, X (formerly Twitter) https://twitter.com/par_tech, Facebook https://www.facebook.com/parpointofsale/, and Instagram https://www.instagram.com/partechnology/. Position Description: We are looking for a Senior 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. Position Location: Remote, Markham, CA Remote, Toronto, CA Reports To: Data Engineering Manager What We’re Looking For: 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) - M
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