Join Iris Software, a leader in IT services and recognized as one of India's Top 25 Best Workplaces in IT. We are seeking a skilled Data Engineer with robust Databricks and Python expertise to craft sophisticated data pipelines and analytics solutions.

This pivotal role supports critical CCAR and regulatory reporting functions. You will be instrumental in data ingestion, transformation, ensuring data quality, developing ETL/ELT processes, and seamless integration across our enterprise data platforms.

Develop and maintain scalable data pipelines and analytics solutions, focusing on CCAR and regulatory reporting requirements.

Execute data ingestion, transformation, and ETL/ELT development to ensure data accuracy and efficiency.

Collaborate with cross-functional teams to integrate data across enterprise data platforms.

Implement and uphold data quality standards throughout the data lifecycle.

Utilize Databricks, Python, SQL, and Pyspark to build robust data solutions.

Proven experience as a Data Engineer with strong proficiency in Databricks and Python.

Solid understanding of SQL for database programming and data manipulation.

Experience with Big Data technologies, specifically Pyspark, is essential.

Familiarity with Data Modeling and Data Management & Governance principles.

Knowledge of the Financial Services (FS) domain is highly desirable.

Excellent communication and collaboration skills are required to work effectively within a team environment.

Experience with ETL processes and related tools is expected.