🚀 Iris Data Engineer Noida is an exciting full-time opportunity for freshers and early-career professionals passionate about data engineering. At Iris Software, you’ll work on cutting-edge projects involving PySpark, SQL, Python, Databricks, and AWS, contributing to the modernization and integration of critical enterprise applications.
If you’re looking to build a rewarding career in data engineering with one of India’s fastest-growing IT services companies, Iris offers the perfect launchpad to enhance your skills and make a real impact.
About Iris Software
Iris Software is recognized among India’s Top 25 Best Workplaces in the IT industry. With over 4,300 associates across India, the U.S.A, and Canada, Iris delivers technology-enabled transformation across sectors like financial services, healthcare, transportation, logistics, and professional services.
Iris focuses on complex, mission-critical applications using modern technologies, including Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.
The company’s culture emphasizes ownership, growth, and continuous learning, making it an ideal environment for ambitious professionals eager to shape their career path.
Role Overview
As a Data Engineer, you will collaborate with teams to integrate data between Classic & New Group Benefits applications while modernizing enterprise workflows. Your key responsibilities will include:
- Developing and maintaining data pipelines using PySpark and SQL
- Conducting deep data exploration and attribute-level analysis
- Writing efficient Python scripts to support data operations
- Working on Databricks and AWS environments to manage large-scale datasets
- Collaborating with cross-functional teams for seamless data integration
- Applying critical thinking and analytical aptitude to solve complex data problems
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Who Can Apply
| Criteria | Details |
|---|---|
| Experience | Freshers & 0-2 Years |
| Employment Type | Full-Time |
| Location | Noida, Uttar Pradesh, India |
| Education | Bachelor’s/Master’s in Computer Science, IT, Data Science, or related fields |
| Skills Required | PySpark, SQL (deep competency), Python, Databricks (preferred), AWS exposure, Shell scripting |
| Communication | Strong verbal and written communication skills |
| Other Requirements | Critical thinking, analytical skills, problem-solving, collaboration |
Required Skills
- SQL – strong expertise for data exploration and analysis
- PySpark – designing and maintaining distributed data pipelines
- Python – scripting for automation and data processing
- Databricks – cloud-based analytics platform (preferred)
- AWS – S3, EBS, Glacier for data storage and processing
- Shell scripting – basic Bash/automation skills
- Strong analytical aptitude and attention to detail
- Effective communication skills for team collaboration
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Perks & Benefits
🌟 Work with a top IT services company recognized for excellence and innovation
📈 Gain hands-on experience in data engineering, big data analytics, cloud, and modern application integration
🧠 Continuous learning and personalized career development
🤝 Mentorship and collaboration in a highly supportive environment
🌍 Exposure to large-scale enterprise applications and modernization projects
💼 Comprehensive employee benefits for professional and personal growth
How to Apply
✔ Update Your Resume
Highlight experience in PySpark, SQL, Python, Databricks, and AWS. Include any academic projects, internships, or personal projects demonstrating data engineering skills.
✔ Showcase Your Skills
Provide GitHub links or portfolio work showing your data pipelines, ETL workflows, or cloud projects.
✔ Prepare for Interviews
Brush up on SQL queries, Python scripting, PySpark transformations, AWS basics, and data modeling concepts. Communication and problem-solving skills will also be tested.
✔ Apply Now
Click the button below to start your journey with Iris and become part of a top IT workplace in India.
Conclusion
The Iris Data Engineer Noida role is an incredible opportunity to grow your career in data engineering while working on modern enterprise applications. With exposure to PySpark, SQL, Python, Databricks, and AWS, this full-time position provides hands-on experience, mentorship, and professional growth in a supportive and award-winning workplace.
If you’re ready to take ownership of your career and work on impactful data projects, don’t miss this chance apply today! 🌟
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