Description

Build and maintain scalable data pipelines, AI/ML integrations, and interactive front-end applications.

This role is on-site.

Responsibilities

• Design and deploy data pipelines, ETL/ELT workflows, and data models using Python, SQL, and Snowflake.
• Develop intuitive user interfaces for data products using React, Angular, TypeScript, and JavaScript.
• Build and optimize semantic models and dashboards in Power BI for business intelligence.
• Integrate AI/ML model data pipelines and create data-centric APIs and microservices.
• Implement data streaming with Kafka or RabbitMQ and ensure pipeline reliability and testing.

Required Skills

• 5+ years of experience in data engineering and full-stack development.
• Strong proficiency in Python and SQL for data processing and modeling.
• Hands-on experience with Snowflake, AWS, and Microsoft Azure.
• Front-end expertise in React or Angular with TypeScript/JavaScript.
• Experience building Power BI dashboards and semantic models.
• Familiarity with data streaming tools like Kafka or RabbitMQ.
• Knowledge of AI/ML data solutions and model productionization.

Preferred Skills

• Experience with data quality frameworks and automated testing in data engineering.
• Background in designing resilient, scalable data architectures for real-time processing.

Key Skills

Education

Bachelor's degree