Data Engineer

4 weeks ago

Angeles, Philippines Lifebankfoundation Full time

Overview LifeBank Microfinance Foundation, Inc. (LBF) is a non-stock and non-profit organization engaged in micro-financing initiatives that advance development in rural and urban areas through integrated social services. We are a major catalyst in breaking the chains of poverty in the Philippines. LBF is backed by two pillar programs: The Ikabuhi Microfinance Program (IMP) for financial services and the Sustainable Development Program (SDP) for social services. We are looking for two (2) Data Engineers for the Data Science Team at Brgy. Maria Clara, Iloilo City, Iloilo. Job Description for Data Engineer Establish a directory of data sources used by the organization, including the databases, applications, files, APIs, and data feeds. Establish data governance procedures and policies aligned with the Data Privacy Guidelines of LBF to ensure data stewardship, ownership, and regulatory compliance. Create a data schema that presents the structure and relationships of data from various sources. Extract data from various sources, transform it into a consistent format, and load it into a unified database through Extract, Transform, Load pipelines. Regulate access and edits on the data, develop access control policies, and implement security measures to secure sensitive data. Implement systems for version control, auditing, and tracking data changes. Provide training and support on the use of the unified database, data cleaning, and data preprocessing to data owners, data analysts, and data scientists. Install monitoring and alerting systems and deploy the unified database in a production environment to guarantee its stability and availability. Offer ongoing maintenance and troubleshooting assistance to handle any issues that may occur. Job Qualifications for Data Engineer Bachelor’s degree in a quantitative discipline (e.g., business analytics, statistics, mathematics) or relevant training in data analytics. Proficiency in analytic tools such as R, Python, and Excel. Familiarity with relational and non-relational databases. Experience in data cleaning and preprocessing with keen attention to detail to spot anomalies or errors in data and ensure accuracy in reports. Strong statistical analysis skills, including hypothesis testing, regression analysis, and other statistical techniques. Strong problem-solving skills to identify issues and find data-driven solutions. Ability to create compelling and insightful data visualizations and data stories to communicate findings effectively. Strong communication and collaboration skills while working in a remote team environment. Strong commitment to ethical data collection, usage, and sharing practices, particularly in handling sensitive financial data of clients. Willingness to stay updated on emerging data analysis tools, technologies, and best practices relevant to the microfinance sector. Willing to work remotely. How To Apply Click apply to this position/job or apply to our career page by visiting LifeBank Career Page. You may also send your application via email for faster processing. Requirements: Resume and Application Letter addressed to HDBP Head Ms. Jeselyn M. Mendote. Contact Us: or email (Mon-Fri 8 AM-5 PM). #J-18808-Ljbffr

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