Join Iris Software, a recognized Top 25 Best Workplace in India's IT sector, and contribute to cutting-edge technology transformations. We are a rapidly expanding IT services firm committed to being our clients' most trusted technology partner and a premier destination for industry professionals seeking to realize their full potential.

With a global presence and a dedicated team of over 4,300 associates across India, the U.S.A., and Canada, Iris Software empowers enterprise clients in financial services, healthcare, transportation & logistics, and professional services. Our expertise spans complex, mission-critical applications utilizing the latest advancements in Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

As a Senior Engineer focused on Data Databricks, you will architect and implement scalable data engineering solutions leveraging PySpark and advanced distributed data processing frameworks. Your role will involve defining robust data ingestion, transformation, and processing architectures, ensuring alignment with overarching business and analytical objectives.

We seek individuals who demonstrate strong ownership in driving data engineering excellence and possess the ability to collaborate effectively with cross-functional teams and business stakeholders to ensure seamless project delivery and success.

This role requires proficiency in mandatory technical skills including PySpark, Databricks Workflows, Apache Kafka, Delta Lake on Databricks, and Snowflake.

We are looking for individuals who exhibit strong ownership and drive, contributing to data engineering excellence. Effective collaboration with various teams and business stakeholders is crucial for smooth project delivery. At Iris, we champion a culture where your potential is valued, your voice matters, and your work creates tangible impact, offering personalized career development and continuous learning opportunities.