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 ISTReports To: Manager, Big Data EngineerWhat 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.