Lead Data Engineer

About the role

Working with Us At Iris, every role is more than a job — it’s a launchpad for growth. We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.

What you'll do

• Design scalable data engineering solutions using PySpark and modern distributed data processing frameworks
• Define data ingestion, transformation, and processing architectures aligned with business and analytical objectives
• Demonstrates strong ownership while driving data engineering excellence
• Collaborate effectively with various teams and business stakeholders to ensure smooth delivery
• Start applying with LinkedIn

What you need

• 6–10 years in data science & ai
• SQL
• Python
• Spark
• Databricks
• Kafka
• Any graduate

Good to have

• AWS
• Redshift
• DynamoDB
• Git