Join Iris Software, a rapidly growing IT services company and one of India's Top 25 Best Workplaces in the IT industry. We are seeking a Senior Data Engineer to contribute to cutting-edge projects and realize their full potential. Our vision is to be a trusted technology partner, driving transformation across financial services, healthcare, transportation & logistics, and professional services.

At Iris, your career is a launchpad for growth. We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With personalized career development, continuous learning, and mentorship, we support your personal and professional evolution.

Design and implement scalable data engineering solutions using PySpark and modern distributed frameworks. Architect robust data ingestion, transformation, and processing systems aligned with business objectives.

Optimize Snowflake or Delta Lake on Databricks for enterprise-scale data platforms. Lead the development of high-performance batch and streaming data pipelines. Design event-driven architectures using Apache Kafka or Amazon Kinesis.

Establish monitoring, scheduling, and operational controls for reliable pipeline execution. Drive data quality, validation, and governance practices across all data engineering solutions. Mentor team members on best practices and collaborate with stakeholders for end-to-end platform delivery.

A Senior Data Engineer with 7-8 years of experience is required. Proficiency in mandatory skills including Amazon Kinesis, Data Quality & Validation, PySpark, Python, SQL, Databricks Workflows, and Delta Lake on Databricks is essential.

Demonstrate strong ownership, collaborative spirit, and analytical thinking. Adaptability to evolving technologies and strong attention to detail are crucial. Effective communication regarding delivery status, risks, and improvement opportunities is expected.

Promote continuous improvement, knowledge sharing, and mentoring. Balance scalability, performance, reliability, and business priorities while driving excellence. Embrace AI-assisted development for enhanced productivity and solution quality.