Join Iris Software, recognized as one of India's Top 25 Best Workplaces in the IT industry. We are a rapidly growing IT services company committed to being a trusted technology partner and fostering the growth of top industry professionals.

We specialize in advanced technology solutions, including Application & Product Engineering, Data & Analytics, Cloud, DevOps, and more, serving clients across financial services, healthcare, and logistics.

At Iris, your career is a launchpad for growth. Our "Build Your Future. Own Your Journey." philosophy empowers you with ownership and the right opportunities to shape your professional path in an environment that values your contributions and fosters innovation.

Design and implement robust, scalable data engineering solutions utilizing PySpark and modern distributed data processing frameworks.

Establish clear data ingestion, transformation, and processing architectures that align with both business objectives and analytical needs.

Drive data engineering excellence with a strong sense of ownership and collaborate effectively with cross-functional teams and stakeholders for seamless project delivery.

Proficiency in Python, Apache Spark, PySpark, and SQL is essential.

Experience with data streaming technologies like Amazon Kinesis and Apache Kafka is required.

Familiarity with Databricks Workflows and Delta Lake on Databricks is a must.

Additional strengths include AWS services such as S3, Aurora, DynamoDB, Glue, Redshift, and knowledge of Data Governance Frameworks and GitHub are beneficial.