Join Iris Software, recognized as one of India's Top 25 Best Workplaces in the IT industry, and contribute to an award-winning culture that values your talent and ambitions. As a rapidly growing IT services company, we empower our associates to own and shape their success stories. Our vision is to be the most trusted technology partner for our clients and the first choice for top industry professionals seeking to realize their full potential.

We are dedicated to enabling enterprise clients across financial services, healthcare, transportation & logistics, and professional services to thrive through technology-enabled transformation. Our work involves complex, mission-critical applications utilizing the latest technologies in areas like Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Design and implement scalable data engineering solutions leveraging PySpark and modern distributed data processing frameworks.

Define robust data ingestion, transformation, and processing architectures that align seamlessly with business and analytical objectives. Demonstrate strong ownership in driving data engineering excellence and collaborate effectively with diverse teams and business stakeholders to ensure smooth project delivery.

We are seeking a Lead Data Engineer with 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. This role emphasizes strong ownership and collaborative abilities to ensure successful project outcomes.