Data Engineer
2 days ago
**Role Overview**
In this position, you will report to the Head of Technology & Transformation and play a pivotal role in Fullerton’s Digital Transformation Journey, which encompasses enhancing our enterprise data warehouse. As a Data Engineer, you will utilize your data engineering expertise to spearhead comprehensive data projects in a dynamic and collaborative environment. This position demands a diverse range of skills to manage varied responsibilities within a lean team, ensuring effective data management and clear communication with business-focused teams
**Key Duties and Responsibilities****:
- Design, build, test and maintain highly scalable data components from requirements gathering to day to day maintenance.
- Ensure those data components (data ingestion, data pipeline, etc) are implemented according the industry best practices (including security guidelines)
- Provide technical leadership in selecting new data management technologies and software engineering tools into existing structures.
- Collaborate with data management team, data scientists, IT team and business stakeholders to provide high quality deliverables and ensure that optimal data delivery architecture is consistent throughout ongoing projects.
- Recommend ways to improve data reliability, efficiency, and quality through continuous improvement and industry best practices.
- Foster a data-driven culture within the firm by sharing insights on industry trends and practices.
**Education Qualification****:
- Master’s degree in Computer Engineering, Computer Science, Data Analytics, or a related field.
**Experience and Skills****:
- 5 to 8 years of relevant experience, preferably in the asset management or banking industry.
- Proficiency in Python, AWS services and Snowflake environments, including API management and CICD practices.
- Experience with relational SQL and NoSQL databases
- Demonstrated experience in leading data projects end-to-end
- Experience in data pipeline management tool selection process (RFP management and analysis).
- Excellent communication skills with the ability to work effectively with business-oriented teams.
**Remuneration****:
- Competitive, with performance-based incentives.
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