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We use only behavioural data from mobile usage to create financial identities for SMME’s. Our customers can then access a world of choice where Banks compete to provide the best savings product or working capital to grow their business. For 80% of our customers it is the first time that they are interacting with a bank. We believe technology provides t...
About this job
At JUMO, we’ve built a smart financial services platform to make finance accessible to everyone. Our Data engineering team ensures that our intelligent banking platform is able to acquire data from millions of users across globally distributed sources, such as GSM. Beyond ingress, the data is processed and stored in the cloud to support event-driven analytics and machine learning pipelines.
As a JUMO Data Engineer, you will design, build and maintain scalable data architectures. You will monitor their performance, perform root cause analysis and provide solutions to any issues that might arise. You will work with large, complex data sets, which means experience working with Big Data is essential. On a typical day, we use Spark, Kafka, Python, SQL, Airflow and AWS technologies, such as Redshift. We work with Docker and Kubernetesfor automating deployment, scaling, and management of containerized applications.
You will
- Be responsible for creating robust, mission critical batch and streaming data processing capabilities
- Design, implement, and maintain the data pipelines that constitute JUMO's data platform, enabling effective use of data across the organisation
- Provide feedback on team members' output, encouraging skills development within the team
- Work closely with Portfolio Managers and Decision Scientists to understand the real world problems we’re trying to solve
- Mentor juniors with technical leadership
- Be supported by senior leaders as you drive your own development
You will need
- BSc. in Computer Science, Electrical Engineering or equivalent tertiary degree
- Real-world understanding & experience of data pipeline design and development, as well as data processing and storage (i.e. experience in designing systems to process and curate large data sets)
- Experience in streaming technologies, specifically Spark and Kafka
- Experience with cloud technologies, AWS preferred
- Solid, proven experience working with big-data technologies such as Apache Spark, Flink, Hadoop, Kafka or Kinesis, Cassandra, DynamoDB, InfluxDB, MongoDB, Presto, Beam
- Command of productionising and monitoring of data pipeline workflows, and working knowledge of the Data Product Lifecycle
- Experience in application design and development with at least one of the following languages: Python (preferred), Scala, Java
- RDBMS experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server. This includes experience with relational database administration, technical architectures and infrastructure components
- Understanding of CI/CD practices
- Productive within a Linux command line environment
- Proven ability to contribute software as part of a team. We are looking for someone that can effectively communicate technical concepts, and apply critical thinking under pressure
Bonus if you have
- Experience working with messaging systems (RabbitMQ, SNS)
- Experience working with data pipeline orchestration (Airflow, Nifi, Streamsets)
- Experience working with production BI environments and tools (Tableau, Superset, Looker)
We ask a lot of each other at JUMO, but we give a lot too.
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