Data Engineer I
Data Engineer I
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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 100000 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 or connect with us on LinkedIn X (formerly Twitter) Facebook and Instagram.
Position Description:
We are looking for a Data Engineer to join Punchh (a PAR Company) and play a critical role in building a scalable data infrastructure. Youll collaborate across Engineering Machine Learning and Product teams to develop and optimize data pipelines that power key analytics and customer-facing platforms.
Position Location: Gurugram India
Shift Timing: 6:00 PM IST 3:00 AM IST
Reports To: Manager Big Data Engineer
What Were Looking For:
Entrees (Requirements): Must have
13 years of experience in Data Engineering or a related field
Strong programming skills in Python and PySpark
Hands-on experience with AWS cloud services
Deep understanding of ETL/ELT pipelines and orchestration
Proficiency in writing and optimizing SQL queries
Experience managing structured/semi-structured data with partitioning and clustering
Strong communication skills and the ability to work independently
With a Side of (Additional Skills):
Familiarity with Databricks
Exposure to data modeling data governance or Kafka/Spark Streaming
Understanding of Git and CI/CD pipelines
Unleash Your Potential: What You Will Be Doing and Owning:
Designing building and maintaining scalable data pipelines
Working with large datasets in a cloud-native environment
Collaborating with cross-functional teams to understand and solve data needs
Performing data transformation cleansing and quality checks
Writing high-performance SQL queries and tuning pipelines
Monitoring and optimizing data jobs for performance and cost-efficiency
Supporting data infrastructure to scale analytics and product features
Interview Process:
Interview #1: Phone Screen with Talent Acquisition Team
Interview #2: Video Interview with the Hiring Manage(via MS Teams / F2F)
Interview #3: Video Interview with the Team/Panel (via MS Teams / F2F)
PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race color religion sex national origin age disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application pre-employment testing a job interview or to otherwise participate in the hiring process or for your role at PAR please contact .If youd like more information about your EEO rights as an applicant please visit the US Department of Labors website.
Employment Type
Full-Time
