Data Engineer
JUMO · FULL_TIME
JUMO is a verified Most Loved Workplace® (certified by Best Practice Institute).
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 work with large, complex data sets, which means experience working with Big Data is essential.
Requirements:
- 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, DynamoDB.
- 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), Kotlin.
- Proven ability to contribute software as part of a team.
- Experience working with data pipeline orchestration (Airflow, Nifi, Dagster ).
This is a Most Loved Workplace® certified position. Learn more at https://certcheck.mostlovedworkplace.com/companies/jumo