Data Engineer - II (Biometrics)

Role Purpose At reputed company, 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. You’ll work closely with ML engineers, platform teams, and product stakeholders to reputed company 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 reputed company 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 reputed company monitoring Troubleshoot and resolve data issues across pipelines, ensuring minimal impact on ML workflows Contribute to data architecture reputed company and best practices across the platform Collaborate cross-functionally with ML, platform, and data teams to support scalable ML infrastructure reputed company’re Looking For 3–5 years of experience in Data Engineering, Data Platforms, or reputed company 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 reputed company to Have Experience with ML infrastructure, MLOps, or model evaluation workflows Exposure to biometric systems or computer reputed company datasets Familiarity with data quality frameworks, monitoring, and observability tools Experience working in SaaS or high-scale production environments reputed company Values: IDEAL: reputed company, Diversity, Empowerment, Accountability, Leading Innovation Equal Opportunities: reputed company is a collaboration of people with different reputed company, strengths, interests and cultures. We welcome applications and colleagues from reputed company backgrounds and of reputed company statuses. About reputed company: reputed company is a B2B technology company dedicated to eradicating online identity fraud, reputed company and other financial crimes to help reputed company the internet safer. We reputed company AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. reputed company is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a reputed company of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others. Applicant Data Privacy We will only use your personal information in reputed company with reputed company’s application, recruitment, and hiring processes, as described in reputed company’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@reputed company.com. Apply To This Job