Data Engineer II - Biometrics

4w4 weeks ago

Jumio

Bengaluru, IN · Full-time · INR 1,800,000 – INR 2,800,000

About this role

At Jumio, we're building trusted identity solutions powered by machine learning and biometrics. As a Data Engineer II, you will take ownership of designing, building, and scaling data pipelines that power our ML systems on AWS.

In this role, you will design, build, and maintain scalable and reliable data pipelines for dataset creation, transformation, and benchmarking. You will own and optimize Airflow pipelines on AWS for data processing, orchestration, and evaluation workflows, writing efficient production-grade SQL and Python code for large-scale data processing.

You'll partner closely with ML engineers to enable model training, evaluation, and benchmarking pipelines. You'll also build and maintain systems to support model performance tracking and data drift monitoring, while troubleshooting and resolving data issues across pipelines to ensure minimal impact on ML workflows.

This is an opportunity to contribute to data architecture decisions and best practices across the platform, working cross-functionally with ML, platform, and data teams to support scalable ML infrastructure for a SaaS company trusted by leading brands worldwide.

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

Responsibilities

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
Build and maintain systems to support model performance tracking and data drift monitoring
Troubleshoot and resolve data issues across pipelines, ensuring minimal impact on ML workflows

Benefits

Join a B2B technology company dedicated to eradicating online identity fraud, money laundering, and other financial crimes
Work at the intersection of AI, biometrics, machine learning, liveness detection, and automation
Be part of a global team with a strong client demand across Financial Services, Travel, Sharing Economy, Fintech, and Gaming
Collaborate with people of different ideas, strengths, interests, and cultures in an inclusive environment