O pozici
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!
At MoneyLion, we measure everything and rely on data to guide our decisions, including both long-term strategies and day-to-day operations.
Co budeš dělat
- Design, implement, operate and improve the analytics platform
- Design data solutions using various big data technologies and low latency architectures
- Collaborate with data scientists, business analysts, product managers, software engineers and other data engineers to develop, implement and validate deployed data solutions.
- Maintain the data warehouse with timely and quality data
- Build and maintain data pipelines from internal databases and SaaS applications
- Understand and implement data engineering best practices
- Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed
- Mentor and provide guidance to junior engineers on the job
Koho hledáme
- Expert at writing and optimising SQL queries
- Proficiency in Python, Java or similar languages
- Familiarity with data warehousing concepts
- Experience in Airflow or other workflow orchestrators
- Familiarity with basic principles of distributed computing
- Experience with big data technologies like Spark, Delta Lake or others
- Proven ability to innovate and leading delivery of a complex solution
- Excellent verbal and written communication - proven ability to communicate with technical teams and summarise complex analyses in business terms
- Ability to work with shifting deadlines in a fast-paced environment
Benefity
- Authoritative in ETL optimisation, designing, coding, and tuning big data processes using Spark
- Knowledge of big data architecture concepts like Lambda or Kappa
- Experience with streaming workflows to process datasets at low latencies
- Experience in managing data - ensuring data quality, tracking lineages, improving data discovery and consumption
- Sound knowledge of distributed systems - able to optimise partitioning, distribution and MPP of high-level data structures
- Experience in working with large databases, efficiently moving billions of rows, and complex data modelling
- Familiarity with AWS is a big plus
- Experience in planning day to day tasks, knowing how and what to prioritise and overseeing their execution
