1. Job Description

This role involves designing, building, and managing Data Warehouse solutions. You should be able to use ETL tools to integrate and optimize data, improving process and data flow efficiency. The position also includes developing, building, and maintaining BI (Business Intelligence) reports to meet business needs

2. Key Responsibilities

• Utilize expertise in life insurance, finance, and current system functionalities to operate and develop the Data Warehouse system.
• Design and implement a scalable and reliable data pipeline to ingest, transform, and load structured and unstructured data from various sources.
• Design, build, and manage Data Warehouse solutions to support business analysis and reporting needs.
• BI Reporting and Network:Develop, build, and maintain BI (Business Intelligence) reports to serve business needs.
• Collaborate with business departments to gather requirements, analyze, and design effective BI dashboards and reports.
• Develop and maintain the BI reporting network, ensuring data is updated, accurate, and easily accessible.
• Database Management: Utilize expertise in databases such as Oracle, Postgres, MySQL to optimize data storage, retrieval, and processing (SAP Hana is an advantage).
• ETL Tools: Deploy and manage ETL pipelines using tools such as IBM DataStage, Oracle ODI, and Oracle OBIEE.
• Data Integration: Collaborate with other teams to integrate diverse data sources into centralized platforms.
• Data Pipeline Optimization: Ensure high performance, scalability, and reliability of data processes and pipelines.
• Data Governance: Establish and adhere to data quality standards, ensuring compliance with industry and organizational best practices. Monitor and audit data to ensure accuracy,
• completeness, and reliability.
• Implement monitoring, logging, and alerting for data pipelines to ensure high availability and early detection of failures.
• Problem Solving: Effectively address and resolve issues in data processes and pipelines.
• Strong understanding of database management, data modeling, and data integration techniques.
• Proficiency in scripting languages, query optimization, and developing packages, procedures, and functions on Oracle is an advantage.
• Knowledge of big data technologies and cloud platforms such as AWS is an advantage.

3. Yêu cầu ứng viên

1. Qualifications:

Bachelor’s degree in Information Technology, Computer Science, Business, Economics, Finance, or equivalent.

2. Experiences:

• Minimum of 2 years as a Data Engineer.
• Experience designing and developing Data Warehouse architectures.
• Experience in building, developing, and managing BI reporting networks.
• Experience with BI tools (e.g., Power BI, Tableau, QlikView).
• Practical experience with Oracle and SAP HANA databases.
• Proficient in ETL tools such as IBM DataStage, Oracle ODI, and Oracle OBIEE.
• Knowledge of banking, finance, and life insurance is a plus.
• Familiarity with software development methodologies such as Waterfall and Agile.