Data Engineering Specialist
Summary
Supports the design, development, implementation, and maintenance of Business Intelligence Modules (BIMs) and data infrastructure at PJ Lhuillier Group — monitoring performance, ensuring secure data access and reporting accuracy, and working with business units, IT teams, and vendors. Core stack involves databases, data warehousing, and ETL.
We are looking for a Data Engineering Specialist to support the design, development, implementation, and maintenance of Business Intelligence Modules (BIMs) and data infrastructure solutions. The successful candidate will work closely with business units, IT teams, and external vendors to ensure reliable data availability, reporting accuracy, and continuous improvement of data platforms and analytics solutions.
Key Responsibilities:
- Monitor and report the performance of Business Intelligence Modules (BIMs) and data infrastructure resources.
- Provide technical assistance to ensure BIMs meet service level requirements and that data is securely accessed by authorized users only.
- Identify and recommend process and system improvements to enhance data quality, reliability, and performance.
- Collaborate with business users, IT teams, and vendors to gather and analyze data requirements.
- Assist in the planning, execution, and progress monitoring of data engineering initiatives and projects.
- Support the development, testing, implementation, and deployment of Business Intelligence Modules.
- Prepare and maintain functional specifications, process flows, and technical documentation.
- Ensure BIMs comply with established Business Intelligence and Analytics Architecture standards and guidelines.
- Conduct research on emerging technologies, tools, and best practices in data engineering, business intelligence, and analytics.
- Participate actively in meetings, workshops, training programs, and professional development activities.
- Perform other related duties as assigned.
Qualifications:
- Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, Information Systems, Data Analytics, or a related field.
- At least 6 months to 1 yearn data engineering, business intelligence, systems analysis, or software development.
- Experience working with databases, data warehousing concepts, and ETL processes.
- Familiarity with business intelligence and reporting tools is an advantage.
- Knowledge of system development methodologies such as Agile or SDLC.
- Experience in documenting business requirements, functional specifications, and process workflows is preferred.