The Test Automation Engineer applies quality processes and methodologies to enhance testing products, focusing on automation for improved accuracy and control.

Analyze, design, code, and test application components while performing maintenance and enhancements to ensure high-quality software solutions for multiple clients.

Lead design, build, and configuration of applications, manage teams, ensure timely project delivery, and facilitate knowledge sharing.

The AI/ML Computational Science Analyst conducts data analysis, utilizes machine learning techniques, and collaborates with teams to deliver advanced analytics projects.

The Custom Software Engineer designs and builds applications to meet business needs, collaborating with teams for optimal performance and testing.

Develop custom software solutions, enhance components, collaborate with teams, and ensure high performance using Microsoft Fabric and modern frameworks.

Design, develop, and maintain ETL/data pipelines and data platform solutions on GCP. Ensure data quality, performance-tune BigQuery SQL, migrate data, and collaborate with cross-functional teams to deliver scalable data solutions.

Design, build, and maintain ETL pipelines and data solutions using GCP services and Python. Ensure data quality, perform BigQuery performance tuning, migrate data, and collaborate with cross-functional teams to deliver scalable data platforms.

Design, build, and maintain ETL/data pipelines and data platform solutions on GCP. Ensure data quality, perform BigQuery performance tuning, collaborate with teams, and troubleshoot data processing issues.

Design, develop, and maintain ETL/data pipelines and cloud-native data solutions (BigQuery, Airflow, Python). Ensure data quality, perform performance tuning, support data migrations, and collaborate with cross-functional teams while working shift B.

As a Data Engineer, you will create data solutions, establish data pipelines, ensure data quality, and implement ETL processes to support business needs. You will also work with cross-functional teams for data infrastructure improvement.

Design, develop, and maintain data pipelines and ETL processes using GCP and SQL. Ensure data quality, implement cloud-native data solutions, troubleshoot processing issues, and collaborate with cross-functional teams to deliver reliable data infrastructure for analytics and modeling.

Design, build, and maintain data pipelines and ETL processes using GCP services. Ensure data quality, migrate data across systems, optimize BigQuery performance, and collaborate with cross-functional teams while troubleshooting data flow issues.

Design, develop, and maintain data pipelines and ETL processes. Ensure data quality, implement cloud-native data platform solutions (mainly GCP/BigQuery), optimize performance, and support data integration/migration projects while collaborating with cross-functional teams and troubleshooting production issues.

Design, develop, and maintain data pipelines and ETL processes using GCP data platform services. Ensure data quality, performance-tune BigQuery SQL, migrate data across systems, and collaborate with cross-functional teams to deliver scalable data solutions.

As a Data Engineer, design and maintain data solutions by creating pipelines, ensuring data quality, and implementing ETL processes across systems. Collaborate with teams to meet data requirements and troubleshoot issues in data processing.

The AI/ML Engineer will develop end-to-end AI systems, design pipelines, integrate AI APIs, ensure production quality, and perform rapid prototyping.

As an AI / ML Engineer, you will develop applications leveraging AI tools and cloud services, focusing on quality pipelines and integrating generative AI models.

As an AI / ML Engineer, you'll develop applications utilizing AI tools, apply GenAI models, and ensure high-quality production pipelines, focusing on machine learning operations and collaborating with teams to enhance performance.

Develop end-to-end AI systems using LLMs, design RAG pipelines, integrate vector databases, deploy AI services, and optimize performance.