Data Engineer

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action. In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it. About the Role The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry! MoneyLion is building a world class data ecosystem that will dramatically improve the ability of internal data users and analysts to create products and experiences that captivate our customers. As the Data Engineer, you will participate in technical and architectural planning as well as contributing as a developer while interacting with data scientists, software engineers, and analysts as we build and scale the world's most rewarding program for financial wellness. Key Responsibilities Assist with reviewing and interpreting business and technical requirements with a focus on data objectives of the product Identify requirements and develop data delivery solutions Implement company policies on data access and data distribution Support members of various teams to determine database structural requirements by analyzing their applications and client operations Collaborate with highly talented engineers while striving to help them build their skills and achieve their career goals Support data flow and ETL processes from end to end for projects and initiatives including troubleshooting of data issues, integrity checks, data model design, querying of data, and performance resulting from data issues Assist in training over the data systems used by the company for the employees. Specifically, training programs for new hires on various reports and models available in the data visualization tools that are used Analyze large data sets, some of them messy, to answer and solve real-world business problems while charting paths towards data cleanup and preventing data from becoming messy About You Familiarity with financial and banking products Demonstrated skills in good software engineering practices Building and shipping large-scale engineering products and / or infrastructure Scalable data architecture, fault-tolerant ETL, and monitoring data quality in the cloud (We use AWS) Collaborating with a diverse set of engineers, data scientists and product managers Deep expertise in data engineering and data processing at scale. Requires a focus on the development of pipelines for the creation of data lakes to enable exploration as well as machine learning model training, deployment and scoring at massive scale. Familiarity with data science techniques and frameworks NoSQL, Relational databases and Presto (We use MongoDB, MySQL, PostgreSQL, ElasticSearch) The AWS stack combined with technologies such as Java, Python, Spark, and Kafka Familiarity with Apache Airflow or equivalent workflow management tools What's Next... After you submit your application, you can expect the following steps in the recruitment process : Online Preliminary HackerRank test Interview - Talent Acquisition Team (Virtual or face-to-face) Take-home Assessment - To be discussed in the technical round Interview - Hiring Manager (Virtual or face-to-face) What We Value

We value

growth-minded

and

collaborative

people with high

learning agility

who embody our core values of

teamwork, customer-first

and

innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission. Working At MoneyLion At MoneyLion, we want you to be well and thrive. Our generous benefits package includes : Competitive salary packages Wellness perks Paid parental leave Generous Paid Time Off Learning and Development resources MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

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