Data Engineer at JUMO.WORLD

About this job

As a JUMO Data Engineer, you’ll help contribute to our mission of financial inclusion by extracting maximum predictive value from data assets. This position will report to the Data Engineering Team Lead.

You will

• Design, implement, and maintain the data pipelines that constitute JUMO's data platform, enabling effective use of data across the organisation
• Providing feedback on team members' output, encouraging skills development within the team
• Be responsible for creating robust, mission critical batch and streaming data processing capabilities
• Work closely with Portfolio Managers and Data Scientists to understand the real-world problems we’re trying to solve
• 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 of data processing and storage
• 2+ years experience with Data pipeline design and development experience
• 2+ years experience in processing of data with big-data technologies such as Cassandra, DynamoDB, InfluxDB, MongoDB, Presto, Apache Spark, Hadoop, Beam, Flink, Kafka or Kinesis
• 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
• Working knowledge of the Data product lifecycle
• Command of productionising and monitoring of data pipeline workflows
• Experience with relational database administration, technical architectures and infrastructure components
• Understanding of CI/CD practices
• Productive within a Linux command line environment
• Experience designing systems to process and curating large data sets
• Proven ability to contribute software as part of a team
• Effective communication of technical concepts
• 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)