Data Engineer I

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 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. You’ll 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 We’re Looking For:

Entrees (Requirements): Must have

• 1–3 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 accommodations@partech.com. If you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.