Data Engineer

2 weeks ago

Singapore TRIVI DATA CONSULTING PTE. LTD. Full time

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.

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