Who we're looking for
We are looking for an energetic and passionate Data Engineer to join our WeLend team.
As a Data Engineer of WeLend, you will be responsible for design, develop and deliver high-performance, high-traffic and high-throughput data solutions in the FinTech industry.
You will work in an energetic team of a fast-growing tech company which share the common goal of driving technical excellence and deliver quality software.
You will get plenty of chance to learn and build up your career in the FinTech domain.
What you will be doing
Design, build, maintain and optimize scalable data infrastructure for data exploration, analytics, and reporting purposes
Research, propose and adopt new tools, technologies, and best practices on data solutions proactively
Manage data related workloads and pipelines
Perform data modelling, ETL and BI related tasks
Gather business requirements and translate them into robust, scalable, reliable, state-of-art solutions that work well within the overall data architecture
Evaluate and execute data privacy protection and governance using industry best practices and technologies
About you :
You're a go-getter with mad juggling skills (or multiple hats) who can thrive in a fast-paced, agile environment
You have a strong thirst for knowledge and are driven to find solutions that don't exist yet
You are comfortable with ambiguity and extremely resourceful (in your past life you could've been a detective)
You always find a way to get things done without sacrificing the quality of your work, integrity and values. No task is off limits for you.
You are humble and prioritize the success of the team over your own with an eagerness to help those around you
You don't shy away from challenges and have the ability to bounce back from setbacks
What is required and what we’re looking for
Bachelor’s degree in IT, Computer Science, Math, or related fields
At least 2 years of solid experience across systems integration, business intelligence, data engineering, data analysis and data warehouse management
Work experience of modern programming languages (e.g. Python, R, Matlab, Scala, SQL, Stored Procedures, etc.), databases (e.
g. PostgreSQL, MongoDB, etc.)
Solid experience in data ETL processing or streaming is a must
Experience in AWS Redshift, QuickSight and Apache Airflow is essential
Experience in Cloud-based data platforms is preferred (AWS, Azure and GCP)
Solid Experience in visualization tools and reporting services (e.g. Data Studio, Qlik, PowerBI, Apache SuperSet, etc.)
Knowledge in software development lifecycle and CI / CD workflows with experience working in Agile / Scrum team is preferred
Proven track record to apply analytical and creative thought
Strong analytical and problem-solving capabilities and proven teamwork skills in a fast pace environment
Fluent in English and Chinese, good written and verbal communication skills
Candidate with more experience will be considered as Senior Data Engineer.
What we offer
Learning and development stipend, because we value lifelong learning and believe the best way to invest in our employees is to encourage them to continue to learn
Work hard and laugh lots (chicken wings and french toast, etc.) with a high-performing, fun and diverse team
Weekly afternoon teas and fully stocked fridge
Conveniently located office surrounded by diverse and delicious lunch options
Lively office with gaming consoles and a ping pong table
Fun extracurricular activities with your colleagues like hiking, yoga, badminton, wine tasting, dragon boat racing, rock climbing, etc.
Employee referral bonuses