Why Join Iris
Are you ready to do the best work of your career at one of
India's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture that
truly values your talent and ambitionsJoin Iris Software one of the
fastest-growing IT services companies where
you own and shape your success story.
About Us
At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.
With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.
Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.
Working with Us
At Iris, every role is more than a job it's a launchpad for growth.
Our Employee Value Proposition,
Build Your Future. Own Your Journey. reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.
We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best both personally and professionally.
Curious what it's like to work at Iris Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.
Job Description
Requirement:
8+ years of experience in Data Engineering.
5+ years of hands-on experience with AWS data services.
Strong proficiency in Python and/or Scala.
Strong SQL and data modeling expertise (OLAP, dimensional modeling, lakehouse).
Good To Have
Spark / PySpark
Airflow or similar orchestration tools
REST APIs and microservices
Experience Building ETL/ELT Pipelines At Scale.
- Experience using GitHub Copilot or similar AI-assisted development tools in enterprise environments.
- Solid understanding of IAM, encryption, networking, and cloud security best practices.
Preferred Qualifications
- AWS Certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics).
- Experience with streaming technologies (Kafka, Kinesis).
- Experience with containerization (Docker, Kubernetes).
- Knowledge of Delta Lake, Iceberg, or Hudi.
- Experience implementing data observability solutions.
Mandatory Competencies
Data Science and Machine Learning - Data Science and Machine Learning - Python
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)
Cloud - Cloud - Apache Iceberg
Middleware - Message Oriented Middleware - Messaging (JMS, ActiveMQ, RabitMQ, Kafka, SQS, ASB etc)
Database - Database Programming - SQL
Programming Language - Scala - Scala
Cloud - AWS - AWS SNS, AWS SQS, AWS Kinesis
Beh - Communication and collaboration
Perks And Benefits For Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.
