Senior Data Professional

2 weeks ago

Singapore SAGL CONSULTING PTE. LTD. Full time

**Job Summary**:
**Key Responsibilities**:

- Design, implement, and maintain scalable data pipelines and workflows to process large volumes of structured and unstructured data.
- Analyze and interpret complex datasets to extract meaningful insights that support strategic business initiatives.
- Develop and optimize data models, dashboards, and visualizations for effective decision-making.
- Build machine learning models and predictive analytics solutions to address business challenges.
- Collaborate with stakeholders to gather requirements and translate them into data solutions.
- Ensure data quality, security, and compliance with organizational and industry standards.
- Manage data migration, integration, and transformation processes across platforms.
- Support production environments by troubleshooting issues and optimizing system performance.
- Stay updated with emerging trends and technologies in data engineering, analytics, and machine learning.

**Qualifications**:

- Proven experience in data engineering, data science, and analytics.
- Strong understanding of data processing, storage, and retrieval techniques.
- Expertise in statistical analysis, machine learning, and data visualization methods.
- Proficiency in programming and scripting languages for data analysis and engineering tasks.
- Familiarity with data governance, security, and compliance frameworks.
- Excellent analytical thinking, problem-solving, and communication skills.

**Preferred Skills**:

- Experience with big data ecosystems and cloud-based data platforms.
- Knowledge of data testing frameworks and job scheduling tools.
- Strong domain expertise in industries like healthcare, finance, or marketing.
- Leadership and collaboration skills for cross-functional teamwork.

**Education and Experience**:

- Bachelor’s degree in Computer Science, Data Science, or a related field. Master’s degree is a plus.
- 7+ years of professional experience across data engineering, data science, and analytics roles.

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