Data Engineer – II (Biometrics)

As a Data Engineer II, you will design, build, and scale data pipelines for ML systems, working closely with ML engineers, platform teams, and product stakeholders.

Requirements

• 3–5 years of experience in Data Engineering, Data Platforms, or related roles
• Strong proficiency in Python and SQL with experience in production systems
• Hands-on experience with AWS services (S3, EC2, SageMaker or similar)
• Solid experience building and managing Airflow (or similar orchestration tools)
• Strong understanding of data engineering fundamentals (ETL/ELT, data modeling, pipeline design)
• Experience working with large-scale datasets and distributed data systems
• Experience supporting ML workflows, datasets, or evaluation pipelines
• Strong problem-solving skills and ability to work independently in a fast-paced environment