Join Iris Software, recognized as one of India's Top 25 Best Workplaces in the IT industry. We are a fast-growing IT services company committed to empowering our employees to shape their own success stories and realize their full potential.

Our vision is to be the most trusted technology partner for our enterprise clients, driving transformation across financial services, healthcare, transportation & logistics, and professional services. We specialize in complex, mission-critical applications leveraging cutting-edge technologies in application engineering, data & analytics, cloud, DevOps, and more.

As a Senior Data Engineer, you will design scalable data engineering solutions utilizing PySpark and modern distributed data processing frameworks. You will be responsible for defining robust data ingestion, transformation, and processing architectures, ensuring alignment with both business and analytical objectives.

This role demands strong ownership in driving data engineering excellence and requires effective collaboration with diverse teams and business stakeholders to ensure seamless project delivery.

We are seeking individuals with mandatory expertise in Python, Apache Spark, Data Quality & Validation, PySpark, SQL, Amazon Kinesis, Apache Kafka, Databricks Workflows, and Delta Lake on Databricks.

Additional valuable skills include AWS S3, Amazon Aurora, DynamoDB, AWS Glue, AWS Redshift, Data Governance Frameworks, and GitHub. Strong behavioral competencies such as demonstrating ownership and effective collaboration are essential.