We are seeking a seasoned Data Engineer with over 3 years of relevant experience in data engineering, business intelligence, and AI-driven analytics with overall 10 years + of experience. The ideal candidate will have a proven ability to design scalable data pipelines, implement machine learning models, and deliver data-driven solutions that optimize decision-making processes. This role requires close collaboration with cross-functional teams to align business needs with technical capabilities while ensuring data integrity, security, and compliance.
Key Responsibilities
• Design, implement, and maintain ETL workflows for managing large-scale datasets.
• Develop cloud-based data pipelines (AWS, Azure) for scalable and real-time analytics delivery.
• Optimize data models to ensure high performance and reliable reporting.
• Create advanced dashboards and visualizations using tools like Qlik Sense and Tableau.
• Incorporate predictive analytics and AI-driven insights to enhance decision-making.
• Automate trend analysis and forecasting using machine learning techniques.
• Develop and integrate machine learning models for real-time predictive analytics.
• Implement AI-driven algorithms for anomaly detection, trend identification, and operational efficiency.
• Establish and enforce data governance frameworks to maintain data integrity, security, and compliance.
• Perform regular audits to ensure high-quality and consistent data systems.
• Collaborate with cross-functional teams to develop tailored data solutions.
• Mentor and train teams on best practices for business intelligence and analytics tools.
• Engage with stakeholders to understand complex business requirements.
• Deliver customized reports and data-driven insights aligned with client strategies.
Qualifications
• Education:
• Bachelor’s in Computer Applications or related field.
• Technical Expertise:
• knowledge in Qlik Sense, Tableau, and other business intelligence tools.
• Hands-on experience with cloud platforms like AWS and Azure.
• Strong skills in ETL workflows, data pipelines, and data modeling.
• Advanced knowledge of AI and machine learning frameworks, including predictive modeling and analytics.
• Certifications (Preferred):
• Qlik Sense Business Analyst Certification.
• Qlik Sense Data Architect Certification.
• Experience:
• 3+ years in data engineering, business intelligence, and AI-driven analytics.
• Proven success in leading data-driven projects and implementing scalable solutions.
