Big Data - Senior 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 Big Data solutions using Apache Spark, Hadoop, Azure Databricks, and modern data platform technologies
• Define data processing architecture, transformation strategies, and engineering standards aligned with business objectives
• Lead development of distributed data processing pipelines using Spark (Scala or PySpark) and Hadoop ecosystem technologies
• Design and optimize SQL and Hive-based data processing solutions to improve performance and scalability
• Architect and optimize Azure Databricks solutions supporting large-scale data engineering and analytics workloads

What you need

• 6–7 years in data science & ai
• Hadoop
• Databricks
• Scala
• SQL
• Azure
• Hive
• Any graduate

Good to have

• Spark
• Root cause analysis
• Reconciliation