Data Engineer

First Digital Finance Corporation (FDFC) is a fin-tech company building disruptive and innovative products in retail credit for Southeast Asia.

The company operates BillEase, the top-rated, buy now pay later (BNPL) platform for merchants and their customers in the Philippines with more than 1m downloads.

Vision: Build financial services that delight and enable consumers

Mission: Use software and AI and to build financial products that are at least 10x better than status quo for our customers

The Role

You Will Be Responsible For

• Creating predictive and prescriptive models that could have a positive impact on the business.
• Driving all data analytics activities ranging from conceptualisation, visualisation to operationalisation.
• Performing statistical analysis on historical data to validate models.
• Working across stakeholders to identify and capitalise on opportunities to leverage data to drive business solutions.
• Developing scripts to process structured and unstructured data.
• Recommending, developing and implementing ways to improve data reliability, efficiency and quality.
• Supporting translation of data business needs into technical system requirements.
• Working with stakeholders to understand needs in order with respect to data structure, availability, scalability and accessibility.
• Communicating and supporting the use of the data architecture to all stakeholders.
• Development of data architecture, strategy and governance.
• Providing secure, stable, scalable and cost-effective solutions to facilitate storage, integration, usage, access, and delivery of data assets across the business.
• Implementing real-time analytics use-cases on the Hadoop ecosystem.
• Providing expertise on the various components & features of the Hadoop ecosystem (such as Spark, Map/Reduce, YARN, Hive, Pig, Impala/Drill etc.).
• Designing and setting up Hadoop cluster in line with current and future needs.
• Development and troubleshooting on Hadoop technologies.
• Monitoring Hadoop cluster for performance and capacity planning.

Ideal Profile

Skills Required

• You possess an advanced degree, in Mathematics, Statistics, Computer Science, or a related field.
• You have at least 1-year experience, ideally within a Data Scientist, Data Architect, or Data Engineer role.
• Ability to conceive the data picture from an organizational perspective, and bridge the gap between current state and future goals.
• Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
• Exposure/expertise in one or more of emerging tools like columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.
• Ability to write and execute complex queries in SQL.
• Strong expertise in data modeling & database design.
• You possess strong knowledge of Django, Hadoop, Java, and Python.
• Expertise in Data Design and Hadoop ecosystems (Hadoop, Spark, Map/Reduce, YARN, Hive, Pig, Impala, Drill) would be highly valuable.
• You are a strong team player who can manage multiple stakeholders
• You enjoy finding creative solutions to problems
• You pay strong attention to detail and deliver work that is of a high standard

What's on Offer?

• Excellent career development opportunities
• Work alongside & learn from best-in-class talent.
• Work within a company with a solid track record of success