Advance your career at Iris Software, recognized among India's Top 25 Best Workplaces in the IT industry. We are a rapidly expanding IT services firm dedicated to empowering our employees to shape their own success stories. Our vision is to be the premier technology partner for our clients and a top destination for industry professionals seeking to realize their full potential.

With a global presence across India, the U.S.A., and Canada, we support enterprise clients in financial services, healthcare, transportation & logistics, and professional services. Our expertise lies in delivering complex, mission-critical applications utilizing cutting-edge technologies in Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

As a Senior Engineer, you will be instrumental in designing robust, scalable data engineering solutions leveraging PySpark and advanced distributed data processing frameworks. You will define comprehensive data ingestion, transformation, and processing architectures meticulously aligned with both business objectives and analytical requirements.

Key to this role is demonstrating strong ownership in driving data engineering excellence. Effective collaboration with diverse teams and business stakeholders will be crucial to ensure seamless project delivery.

Ideal candidates will possess a strong command of PySpark, Databricks Workflows, Apache Kafka, Delta Lake on Databricks, and Snowflake. We seek individuals who exhibit exceptional ownership and a drive for data engineering excellence, coupled with the ability to collaborate effectively with cross-functional teams and business stakeholders to ensure successful project outcomes.

At Iris, we offer a launchpad for growth with a culture that values your potential, your voice, and your impact. Explore world-class benefits designed for your holistic professional and personal development, supporting your financial, health, and well-being needs.