Data Engineer

ABOUT LULALEND

Lulalend is a FinTech company with a belief in the power of small business. We work hard to empower businesses across South Africa with the funds they need to grow. Small business owners are the foundation for growth in our economy, and they deserve an easy and inspiring lending process.

Lulalend was founded because there is an underserved market for access to funding that the banks and other lenders overlook. We innovate in order to significantly reduce this credit gap - directly assisting our economy and job creation on a grand scale. So, by joining our team you’re helping businesses stay open, grow and offer more job opportunities. Yay you!

Lulalend is a one of a kind business – literally. There is no-one in South Africa doing what we’re doing yet, because we’re awesome!

OUR VALUES

At Lulalend we:

• Are passionate about helping SMEs succeed
• Believe in responsible lending
• Strive to offer an unbeatable customer experience
• Value humility and teachability
• Embrace technology
• Communicate openly
• Work hard and play hard

OVERALL PURPOSE

We are looking for an up-and-coming Data Engineer to join our team. You will be tasked with implementing and maintaining data models with the goal of improving data reliability and quality, ensuring scalable data pipelines are working smoothly, and bugs and performance issues are quickly identified.

As a member of the Data Science team, your primary focus will be to combine raw information from different sources to create consistent and consumption-ready formats. More specifically, you will need to construct and test architectures that enable data extraction and transformation for predictive or prescriptive modelling.

Responsibilities will include:

• Analyse and organise raw data
• Develop and maintain scalable data pipelines and systems
• Monitor production runs to ensure accuracy and on-time delivery of data to reports
• Combine raw information from different sources
• Collaborate with Data Scientists on several projects
• Co-ordinate, build features and produce bespoke data sets for consumption by machine learning algorithms
• Plan, build and maintain the Data Warehouse
• Data mining using state-of-the-art methods
• Explore ways to enhance data quality and reliability
• Enhance existing data collection procedures to include information that is relevant for building analytical systems
• Process, cleanse, and verify the integrity of data used for analysis
• Build and maintain API’s hosted by the Data Science team, ensuring 99.9% uptime
• When required, build out new API integrations to support continuing increases in data volume and complexity
• Write unit/integration tests, contribute to data engineering wiki, and document work
• Refactor code in order to maintain neatness in the data engineering repos
• Build classes from repetitive code in order to ensure quicker development of data science projects

THE COMPETENCIES WE’RE AFTER

• Clear and concise communication and documentation skills
• Process orientated with experience in Agile
• Team-player with a desire to collaborate
• Critical thinking skills

THE SKILLS AND EXPERIENCE WE’RE LOOKING FOR

• Degree in Computer Science, IT, or similar field; a Master’s is a plus
• Data engineering certification (e.g. Microsoft Certified Azure Data Engineer) an added bonus
• Proficient in SQL
• Experience with PostgreSQL/MS SQL and Python
• An understanding of schema design and data modelling
• Experience in shipment of data via ETL, API, etc.
• Experience with source code and version control
• Experience with data visualisation tools