Data Engineer

Role Overview

We are looking for an experienced Data Engineer to design, build, and support data and AI infrastructure that enables advanced analytics and machine learning initiatives. The role will collaborate closely with data scientists, developers, and business stakeholders to ensure scalable data pipelines, reliable AI model deployment, and seamless system integration.

Top 3 Mandatory Criteria

• Minimum 4 years of experience in a similar Data Engineer role
• Strong knowledge of data warehousing, databases, and cloud data platforms
• Experience supporting AI/ML workflows and data transformation pipelines

Key Responsibilities

Data & AI Infrastructure

• Design and manage data pipelines and transformation infrastructure
• Support the AI development lifecycle and underlying infrastructure
• Automates critical tasks and workflows for data science teams

Analytics & Data Processing

• Perform statistical analysis and interpret data findings
• Prepare, transform, and optimize datasets for analytics and AI usage

AI & Machine Learning Enablement

• Support development and deployment of AI/ML models
• Expose machine learning models via APIs for application integration
• Communicate AI model capabilities to stakeholders, including product managers and leadership

Integration & API Development

• Develop and maintain APIs for data and model access
• Integrate systems and ensure smooth data flow across platforms

Collaboration & Stakeholder Support

• Work closely with data scientists, developers, and business teams
• Ensure solutions meet operational and business requirements

Requirements

• Bachelors or Masters degree in Computer Science, Computer Engineering, or related field
• Minimum 4+ years of relevant experience
• Strong knowledge of data warehousing, databases, cloud platforms, and data mining
• Experience building data transformation pipelines and supporting AI workflows
• Strong analytical and problem-solving skills
• Excellent organizational and communication abilities
• Ability to work collaboratively in cross-functional teams