Are you passionate about building scalable data pipelines, working with big data, and driving innovation in cloud-native environments? If yes, then this Data Engineer opportunity in Gurugram with PAR Technology (Punchh – a PAR Company) might be the perfect next step in your career.
For over four decades, PAR Technology Corporation (NYSE: PAR) has been a global leader in restaurant technology solutions, empowering some of the world’s biggest brands to deliver seamless customer experiences. Now, they are looking for a talented Data Engineer to strengthen their growing data team.
- 1 🌟 Why Choose a Career as a Data Engineer at PAR?
- 2 📋 Job Overview – Data Engineer I
- 3 🔑 Key Responsibilities of a Data Engineer
- 4 ✅ Must-Have Skills & Qualifications
- 5 🌟 Good-to-Have (Additional Skills)
- 6 🛠️ Interview Process
- 7 🌐 About PAR Technology
- 8 📌 Why Work at PAR?
- 9 ❓ Frequently Asked Questions (FAQs)
- 10 🎯 Final Thoughts
🌟 Why Choose a Career as a Data Engineer at PAR?
A Data Engineer plays a critical role in shaping how businesses utilize data to make smarter decisions. At PAR, you’ll not only be part of a company serving 100,000+ restaurants across 110 countries, but you’ll also get the chance to work on cutting-edge data platforms that power analytics, machine learning, and customer-facing applications.
This position is based in Gurugram, India, with a hybrid work setup, offering flexibility and opportunities to collaborate with diverse global teams.
📋 Job Overview – Data Engineer I
Here’s a quick glance at the opportunity:
| Details | Information |
|---|---|
| Role | Data Engineer I |
| Location | Gurugram, India (Hybrid) |
| Department | Engineering |
| Employment Type | Full-time |
| Shift Timing | 6:00 PM IST – 3:00 AM IST |
| Reports To | Manager, Big Data Engineer |
🔑 Key Responsibilities of a Data Engineer
As a Data Engineer at PAR (Punchh), you’ll be responsible for:
- Designing, building, and maintaining scalable data pipelines.
- Working with large datasets in a cloud-native environment.
- Collaborating with cross-functional teams (Engineering, ML, Product).
- Performing data transformation, cleansing, and validation checks.
- Writing and optimizing high-performance SQL queries.
- Monitoring and optimizing pipelines for efficiency and cost-effectiveness.
- Supporting data infrastructure to enhance analytics and product development.
✅ Must-Have Skills & Qualifications
To qualify as a Data Engineer for this role, you should have:
- 1–3 years of Data Engineering experience.
- Strong programming skills in Python and PySpark.
- Proficiency in AWS Cloud Services.
- Expertise in ETL/ELT pipelines and orchestration.
- Ability to write and optimize SQL queries.
- Experience in handling structured/semi-structured data with partitioning and clustering.
- Strong problem-solving and communication skills.
🌟 Good-to-Have (Additional Skills)
While not mandatory, the following skills make you stand out as a Data Engineer:
- Experience with Databricks.
- Knowledge of data modeling and data governance.
- Familiarity with Kafka or Spark Streaming.
- Understanding of Git and CI/CD pipelines.
🛠️ Interview Process
The hiring process for Data Engineer at PAR includes:
- Phone Screening – with the Talent Acquisition team.
- Technical Interview – with the Hiring Manager.
- Panel/Team Interview – via MS Teams or in-person.
🌐 About PAR Technology
PAR Technology has been at the forefront of innovation for 40+ years, serving top restaurants and global brands with point-of-sale, digital ordering, loyalty programs, and back-office solutions. With its Better Together philosophy, PAR combines software, hardware, and customer experience solutions to empower businesses worldwide.
📌 Why Work at PAR?
- Be part of a global leader in data-driven solutions.
- Work in a hybrid setup in Gurugram with flexible opportunities.
- Collaborate with world-class engineers, data scientists, and product managers.
- Opportunity for growth in Data Engineering and cloud technologies.
- Competitive compensation and career advancement.
❓ Frequently Asked Questions (FAQs)
Q1: Is this Data Engineer role suitable for freshers?
No, this role requires 1–3 years of experience in Data Engineering or related fields.
Q2: What technologies will I work with as a Data Engineer?
You will work with Python, PySpark, AWS services, SQL, Databricks, and Kafka/Spark Streaming.
Q3: What are the working hours for this role?
The shift timings are 6:00 PM IST – 3:00 AM IST, aligning with global operations.
Q4: Is this a remote job?
This role is Hybrid, based in Gurugram, India.
🎯 Final Thoughts
If you’re passionate about building scalable data solutions and want to work with a global leader in restaurant technology, then this Data Engineer role in Gurugram at PAR Technology is the perfect opportunity for you. With a strong focus on data infrastructure, pipelines, and cloud-native solutions, this role promises exciting challenges and immense career growth.
👉 Apply today and become part of a mission-driven company transforming the way data powers businesses worldwide!
