Advance your career at Iris Software, recognized as one of India's Top 25 Best Workplaces in the IT industry. We are a rapidly expanding IT services firm committed to fostering an award-winning culture that genuinely values your expertise and career aspirations. At Iris, you'll have the opportunity to shape and own your professional journey.

Our vision is to be the foremost trusted technology partner for our clients and the preferred destination for top industry talent. With over 4,300 professionals across India, the U.S.A., and Canada, we empower enterprise clients through technology-driven transformations in financial services, healthcare, transportation & logistics, and professional services. We specialize in complex, mission-critical applications utilizing cutting-edge technologies like Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Lead the design of robust and scalable data engineering solutions, leveraging PySpark and contemporary distributed data processing frameworks.

Establish clear architectures for data ingestion, transformation, and processing, ensuring alignment with strategic business and analytical objectives.

Demonstrate strong ownership in driving data engineering excellence and collaborate effectively with diverse teams and business stakeholders to ensure seamless project delivery.

We are seeking experienced professionals to join our team. Proficiency in mandatory skills is essential, including Python, Apache Spark, Data Quality & Validation, PySpark, SQL, Amazon Kinesis, Apache Kafka, Databricks Workflows, and Delta Lake on Databricks.

Additional experience with AWS S3, Amazon Aurora, DynamoDB, AWS Glue, AWS Redshift, Data Governance Frameworks, and GitHub is highly beneficial.

Successful candidates will exhibit strong ownership and collaboration skills, contributing to smooth project delivery and fostering an environment of data engineering excellence.