Data Engineer - II (Biometrics)

About the role

As a Data Engineer II , you will take ownership of designing, building, and scaling data pipelines that power our ML systems. You’ll work closely with ML engineers, platform teams, and product stakeholders to enable robust dataset creation, benchmarking, and production-grade data workflows on AWS.

What you'll do

• Design, build, and maintain scalable and reliable data pipelines for dataset creation, transformation, and benchmarking
• Own and optimize Airflow pipelines on AWS for data processing, orchestration, and evaluation workflows
• Write efficient, production-grade SQL and Python code for large-scale data processing and analysis
• Partner closely with ML engineers to enable model training, evaluation, and benchmarking pipelines
• Improve pipeline performance, reliability, and observability, ensuring high data quality in production

What you need

• 3–5 yrs of experience
• Machine learning
• SQL
• Python
• ETL
• AWS
• Airflow
• Any graduate

Good to have

• MLOps
• Computer vision
• Data modelling