PAR Technology

1 month ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Senior Data Engineer to design and implement scalable big data solutions, collaborating with Machine Learning, Software Engineering, and Product teams. You will lead data pipelines, work with PySpark, Spark Streaming, and Databricks, and help drive PAR’s big data platform supporting AI and BI products from a remote basis with multiple Canadian locations.

Location: Markham, Toronto

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key 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 leader of PAR’s big data platform that supports AI and BI products

Travel: Low travel

Key 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
•Data modelling and SQL within a Lakehouse architecture
•Extensive knowledge of cloud technologies, e.g. AWS and Azure
•Databricks experience and PySpark/Spark Streaming experience

Experience:5+ yearsBig dataData engineeringCloud

Education:Master's

Skills:CommunicationProblem-solvingTeamwork

Languages:English

Tech Stack:PythonJavaPostgreSQLMySQLMongoDBKafkaSparkPySparkSpark StreamingDatabricksAWSAzure

Company Brief

PAR Technology

Provides unified software, hardware and services for restaurant and retail operations, including POS, digital ordering, loyalty, back-office, payments and hardware solutions for chains and independent operators worldwide.

Industry: Restaurants & Food Service

Company Size: Enterprise (1,001+ employees)

Revenue: USD 100M to 250M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New Hartford, United States

Founded: 1968

Glassdoor: 3.7

Website LinkedIn

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PAR Technology

1 month ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Markham, Toronto

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key 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 leader of PAR’s big data platform that supports AI and BI products

Travel: Low travel

Key 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
•Data modelling and SQL within a Lakehouse architecture
•Extensive knowledge of cloud technologies, e.g. AWS and Azure
•Databricks experience and PySpark/Spark Streaming experience

Experience:5+ yearsBig dataData engineeringCloud

Education:Master's

Skills:CommunicationProblem-solvingTeamwork

Languages:English

Tech Stack:PythonJavaPostgreSQLMySQLMongoDBKafkaSparkPySparkSpark StreamingDatabricksAWSAzure

Company Brief

PAR Technology

Industry: Restaurants & Food Service

Company Size: Enterprise (1,001+ employees)

Revenue: USD 100M to 250M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New Hartford, United States

Founded: 1968

Glassdoor: 3.7

Website LinkedIn