Data And Integration Engineer

Overview

• Shape the future of enterprise AI and data integration engineering at a leading technology firm.
• Design innovative systems to transform complex data into actionable insights.
• Collaborate with diverse teams to implement AI-driven analytics workflows.
• Utilize cutting-edge technologies to automate and optimize data processes.
• Engage in a hybrid work environment, balancing flexibility and collaboration.
• Contribute to projects that drive efficiency and innovation in data engineering.
• Leverage your expertise to lead advancements in AI analytics engineering.
• Stay at the forefront of AI and data integration technologies.

Key Responsibilities & Duties

• Develop and maintain robust data integrations across enterprise systems.
• Design workflows for data extraction, enrichment, and analytics automation.
• Implement AI-powered solutions for natural language data queries.
• Automate testing, deployment, and monitoring of analytics pipelines.
• Collaborate with stakeholders to deliver impactful data solutions.
• Document best practices for data reliability and process automation.
• Prototype and scale AI-driven tools for enhanced decision-making.
• Stay updated on emerging technologies in AI and data engineering.

Job Requirements

• Bachelor's degree in Computer Science, Data Engineering, or related field.
• Minimum 7 years of experience in data engineering or systems integration.
• Proficiency in SQL, Python, and low-code integration tools.
• Experience with ETL/ELT workflows and enterprise system integrations.
• Knowledge of APIs, webhooks, and integration design patterns.
• Preferred experience with LLM frameworks and BI tools.
• Strong communication skills for cross-functional collaboration.
• Familiarity with analytics engineering and data observability practices.