Join Iris Software, a leading IT services company recognized among India's Top Workplaces. We are seeking a Data Senior Engineer to contribute to cutting-edge projects and shape client success. This role offers a launchpad for career growth within an award-winning culture that values talent and ambition.

At Iris, we empower our associates to own their career journey and achieve their full potential. You'll work with a global team across India, the U.S.A., and Canada, driving technology-enabled transformations for enterprise clients in sectors like financial services, healthcare, and logistics. We specialize in complex, mission-critical applications using the latest technologies in data, cloud, and automation.

As a Data Senior Engineer, you will architect and implement scalable data engineering solutions using PySpark and modern distributed frameworks. Responsibilities include designing data ingestion, transformation, and processing architectures, and optimizing solutions with Delta Lake on Databricks or Snowflake for enterprise-scale data platforms.

You will lead the development of high-performance batch and streaming data pipelines, design event-driven architectures using Apache Kafka or Amazon Kinesis, and establish robust workflow orchestration with Apache Airflow or Databricks Workflows. Ensuring data quality, driving governance practices, and promoting AI-assisted engineering are key aspects of this role. You will also troubleshoot complex issues and mentor team members.

This role requires expertise in Python, PySpark, Databricks Workflows, Delta Lake on Databricks, and Apache Kafka. Experience with AWS CloudShell and Azure Databricks is considered advantageous.

We look for individuals who demonstrate strong ownership, collaborate effectively with diverse teams and stakeholders, and apply analytical thinking to solve complex data engineering challenges. A commitment to quality-focused engineering and continuous improvement is essential. Experience in designing and optimizing data pipelines, including event-driven and batch processing, is expected. A willingness to mentor junior engineers on best practices is also valued.