Join Iris Software, a rapidly expanding IT services firm recognized among India's Top 25 Best Workplaces in the IT industry. We are seeking talented professionals to contribute to a culture that values ambition and talent.

Our vision at Iris is to be a premier technology partner for our clients and a platform for industry professionals to achieve their full potential. With a global team of over 4,300 associates, we empower enterprise clients across 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.

This role involves leveraging expertise in Databricks, PySpark, Apache Kafka, Delta Lake on Databricks, Snowflake, and Apache Airflow to drive data-intensive projects.

You will apply your knowledge of Data Science, Machine Learning, Data Engineering, and Big Data principles to ensure data quality, implement validation, and develop robust data pipelines.

Key responsibilities include utilizing Python for programming, SQL for database interactions, and Apache Airflow for workflow orchestration, while demonstrating strong communication and collaboration skills.

Essential technical proficiencies include Databricks Workflows, PySpark, Apache Kafka, Delta Lake on Databricks, Snowflake, and Apache Airflow.

We require a solid understanding of Data Science and Machine Learning concepts, particularly with Apache Spark, and expertise in Data Engineering practices such as Data Quality & Validation and working with Apache Kafka.

Strong skills in Big Data technologies like Pyspark, proficiency in Python programming, and database querying using SQL are mandatory. Experience with Apache Airflow and excellent communication and collaboration abilities are also critical for success in this role.