Gather data from diverse sources, such as databases, APIs, and flat files.
Clean, transform, and preprocess data to ensure accuracy and consistency.
Develop and maintain ETL (Extract, Transform, Load) processes.
Data Warehousing:
Design and maintain data warehouses or data lakes to store and organize data efficiently.
Implement data modeling and schema design to optimize data retrieval.
Big data management
Database Management:
Administer and optimize databases for performance and scalability.
Ensure data security and access control measures are in place.
Reporting and Visualization:
Create interactive dashboards and reports using tools like Tableau, Power BI, or custom-built solutions.
Collaborate with business analysts and stakeholders to define reporting requirements .
Data Quality and Governance:
Implement data quality checks and validation processes.
Establish data governance policies and procedures to maintain data integrity.
Perform root cause analysis on data queries from stakeholders
Automation and Scalability:
Develop automated solutions for data processing and reporting tasks.
Scale data pipelines and reporting systems to handle growing volumes of data.
Performance Monitoring:
Monitor system performance, troubleshoot issues, and optimize query performance.
Implement alerting mechanisms for system failures or anomalies.
Documentation and Knowledge Sharing:
Maintain documentation for data pipelines, data models, and reporting processes.
Collaborate with team members and stakeholders to share knowledge and best practices.
Technical Expertise:
Stay up-to-date with emerging technologies and best practices in data engineering and reporting.
Continuously enhance skills in SQL, data modeling, and reporting tools.
Project Management:
Leading and managing onshore reporting project requirements and direct contact of specific AO business units.
Implement Agile methodology on different reporting projects
Quality Assurance:
Implement data quality checks to ensure data integrity.
Identify and address data quality issues as they arise.
Audit reports produced by the team ensuring DTP is adhered to.
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Requirements
Knowledge
General knowledge of insurance business and related market conditions preferred
Fundamental knowledge of data analysis, extraction and management techniques for insurance portfolios
Strong mathematical and statistical knowledge
Fundamental knowledge in Report template creation and design
Agile methodologies, such as Scrum, Kanban, and Lean.
Proficiency in data modeling, SQL, and database management systems (e.g., SQL Server, Oracle, PostgreSQL).
Experience with ETL tools and processes (e.g.,SAS Base, SAS EG, Apache NiFi, Apache Spark, Talend).
Knowledge of data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery).
Familiarity with reporting and visualization tools (e.g., Tableau, Power BI, QlikView).
Programming skills in languages such as Python, Java, or Scala for data processing and automation.
Strong analytical and problem-solving skills.
Understanding of data governance and data security principles.
Excellent communication skills to work effectively with cross-functional teams and business stakeholders.
Ability to adapt to evolving technologies and trends in data engineering and reporting.
7+ years minimum experience in SAS Base, SAS EG, SQL, Excel, Tableau, Power BI, Has been involved in multiple automation initiatives that delivered tangible benefits
At least 1 year experience in the financial services industry, preferably in insurance
Working experience in a consulting or shared services environment preferred
Bachelor's Degree in Computer Science, Information Technology, or any related field or equivalent work experience.
How to Ap
Additional Information
Primary Details
Time Type: Full time
Worker Type: Employee
A Data and Reporting Engineer is responsible for collecting, transforming, and storing data from various sources, ensuring data quality and integrity, and creating meaningful reports and dashboards for stakeholders. They bridge the gap between data sources and end-users, enabling data-driven decision-making within QBE. . This role will also be responsible for producing complex reporting and analytics, automation, dashboard creation and reports consolidation across the function. This role will involve the design and development of reporting tools that are project driven and will be direct contact of onshore stakeholders on certain projects that will be assigned.
Qbe · Phi - Manila