Data Analytics & Engineering
U3 INFOTECH PTE. LTD.
Role Overview:
This is a specialist role for professionals who possess deep expertise in both advanced data analytics and large-scale data engineering within financial markets. The ideal candidate will bridge the gap between business strategy and technical implementation, delivering actionable insights and robust data infrastructure solutions that directly support investment decision-making.
Role & Responsibilities:
1. Data Research & Analysis
o Conduct in-depth data research and analysis for Private Market Data, Public Market Data, and Financial Data to derive insights that support investment strategies.
o Work closely with investment teams to identify the right data sources and optimize workflows.
o Onboard Financial and Corporate data through the virtualization layer to enable user access for reporting purposes.
2. Data Strategy & Management
o Drive data strategy initiatives, ensuring seamless integration of private and public market data into investment processes.
o Implement and maintain data management frameworks, ensuring high-quality and well-structured data assets.
o Define and optimize data management processes, improving efficiency and reducing operational risks.
o Monitor data governance practices to maintain data integrity, security, and compliance.
3. Technical Implementation & Automation
o Develop and maintain SQL-based queries for data extraction, transformation, and analysis.
o Leverage Python for data processing, automation, and analytics.
o Utilize Denodo for data virtualization and enhancing accessibility to diverse data sources.
o Automate repetitive data tasks using Power Automate to improve efficiency and scalability.
o Manage and optimize DBeaver, Denodo, Toad, and MySQL for database queries and analysis.
o Design, develop, and manage scalable data pipelines using Azure Data Services (preferred) or Snowflake, integrating data from APIs, Web Scraping, SFTP, SharePoint, etc.
o Implement CI/CD pipelines, unit testing, and performance tuning to ensure high-quality data engineering solutions.
4. Business Intelligence & Visualization
o Design and develop interactive dashboards and reports using Power BI or Tableau, providing real-time insights to data teams and senior management.
o Optimize Excel workflows using macros and advanced formulas to support data-driven analysis.
o Partner with business partner to integrate AI-driven analytics leveraging Azure AI Services.
5. Agile & Cross-Functional Collaboration
o Work in an Agile environment (Scrum, Kanban) to manage data projects efficiently.
o Collaborate with research analysts, quantitative teams, and technology teams to enhance data capabilities.
o Drive end-to-end SDLC implementation for data solutions, ensuring best practices and performance optimization.
o Bridge technical engineering teams and business stakeholders, translating data engineering outputs into actionable insights.
Requirements:
• 8-10 years of combined experience in data analytics and data engineering, preferably in financial market data environments.
• Proven expertise in Azure Data Services (preferred), SQL, Python, Denodo, and data orchestration tools (Airflow, Control-M).
• Experience in building, optimizing, and automating large-scale data pipelines and data warehouses.
• Strong background in data research, data modeling, visualization, and governance within investment or financial services contexts.
• Exposure to private and public market data processes is highly desirable.
• Preferred certifications:
o Microsoft Certified: Fabric Data Engineer Associate
o Microsoft Certified: Azure AI Fundamentals
o Microsoft Certified: Power BI Data Analyst Associate
Preferred financial knowledge: CFA Level 1 (or equivalent understanding of investment concepts) is an added advantage.
Excellent communication and stakeholder management skills with a strong problem-solving mindset.
Please refer to U3's Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.
This is a specialist role for professionals who possess deep expertise in both advanced data analytics and large-scale data engineering within financial markets. The ideal candidate will bridge the gap between business strategy and technical implementation, delivering actionable insights and robust data infrastructure solutions that directly support investment decision-making.
Role & Responsibilities:
1. Data Research & Analysis
o Conduct in-depth data research and analysis for Private Market Data, Public Market Data, and Financial Data to derive insights that support investment strategies.
o Work closely with investment teams to identify the right data sources and optimize workflows.
o Onboard Financial and Corporate data through the virtualization layer to enable user access for reporting purposes.
2. Data Strategy & Management
o Drive data strategy initiatives, ensuring seamless integration of private and public market data into investment processes.
o Implement and maintain data management frameworks, ensuring high-quality and well-structured data assets.
o Define and optimize data management processes, improving efficiency and reducing operational risks.
o Monitor data governance practices to maintain data integrity, security, and compliance.
3. Technical Implementation & Automation
o Develop and maintain SQL-based queries for data extraction, transformation, and analysis.
o Leverage Python for data processing, automation, and analytics.
o Utilize Denodo for data virtualization and enhancing accessibility to diverse data sources.
o Automate repetitive data tasks using Power Automate to improve efficiency and scalability.
o Manage and optimize DBeaver, Denodo, Toad, and MySQL for database queries and analysis.
o Design, develop, and manage scalable data pipelines using Azure Data Services (preferred) or Snowflake, integrating data from APIs, Web Scraping, SFTP, SharePoint, etc.
o Implement CI/CD pipelines, unit testing, and performance tuning to ensure high-quality data engineering solutions.
4. Business Intelligence & Visualization
o Design and develop interactive dashboards and reports using Power BI or Tableau, providing real-time insights to data teams and senior management.
o Optimize Excel workflows using macros and advanced formulas to support data-driven analysis.
o Partner with business partner to integrate AI-driven analytics leveraging Azure AI Services.
5. Agile & Cross-Functional Collaboration
o Work in an Agile environment (Scrum, Kanban) to manage data projects efficiently.
o Collaborate with research analysts, quantitative teams, and technology teams to enhance data capabilities.
o Drive end-to-end SDLC implementation for data solutions, ensuring best practices and performance optimization.
o Bridge technical engineering teams and business stakeholders, translating data engineering outputs into actionable insights.
Requirements:
• 8-10 years of combined experience in data analytics and data engineering, preferably in financial market data environments.
• Proven expertise in Azure Data Services (preferred), SQL, Python, Denodo, and data orchestration tools (Airflow, Control-M).
• Experience in building, optimizing, and automating large-scale data pipelines and data warehouses.
• Strong background in data research, data modeling, visualization, and governance within investment or financial services contexts.
• Exposure to private and public market data processes is highly desirable.
• Preferred certifications:
o Microsoft Certified: Fabric Data Engineer Associate
o Microsoft Certified: Azure AI Fundamentals
o Microsoft Certified: Power BI Data Analyst Associate
Preferred financial knowledge: CFA Level 1 (or equivalent understanding of investment concepts) is an added advantage.
Excellent communication and stakeholder management skills with a strong problem-solving mindset.
Please refer to U3's Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.
JOB SUMMARY
Data Analytics & Engineering
U3 INFOTECH PTE. LTD.
Singapore
5 days ago
N/A
Full-time
Data Analytics & Engineering