Dkatalis and Jago | Senior data engineer | Full-time | Singapore or Remote
Dkatalis is a technology company building fintech platforms aiming to serve millions of customers across South East Asia through ecosystem partnerships and deep integrations with some of the region’s largest consumer tech platforms including building a digital bank called Jago together with one of the region’s decacorns.
We are seeking a hands-on senior data engineer to help us build out and manage our data infrastructure, which will need to operate reliably at scale using a high degree of automation in setup and maintenance. The role will involve setting up and managing the data infrastructure plus building new systems where required. Responsibilities will extend to building and optimizing key ETL pipelines on both batch and streaming data. The ability to work with the teams from product, engineering, BI/analytics and data science is essential. Ownership needs to be taken of data model design and data quality.
Candidates should have a wide set of experience across the following platforms, systems, languages and capabilities:
* Ideally GCP, but strong experience in another platform such as AWS or Azure will suffice
* Event streaming platforms such as Kafka
* Stream analytics frameworks such as Flink, Spark, GCP -
Dataflow, etc
* Workflow scheduler such as Apache Airflow
* Cloud data warehouses such as BigQuery, Redshift or Snowflake
Dkatalis is a technology company building fintech platforms aiming to serve millions of customers across South East Asia through ecosystem partnerships and deep integrations with some of the region’s largest consumer tech platforms including building a digital bank called Jago together with one of the region’s decacorns.
We are seeking a hands-on senior data engineer to help us build out and manage our data infrastructure, which will need to operate reliably at scale using a high degree of automation in setup and maintenance. The role will involve setting up and managing the data infrastructure plus building new systems where required. Responsibilities will extend to building and optimizing key ETL pipelines on both batch and streaming data. The ability to work with the teams from product, engineering, BI/analytics and data science is essential. Ownership needs to be taken of data model design and data quality.
Candidates should have a wide set of experience across the following platforms, systems, languages and capabilities:
* Ideally GCP, but strong experience in another platform such as AWS or Azure will suffice
* Event streaming platforms such as Kafka
* Stream analytics frameworks such as Flink, Spark, GCP - Dataflow, etc
* Workflow scheduler such as Apache Airflow
* Cloud data warehouses such as BigQuery, Redshift or Snowflake
* Fluency in using Kubernetes
* Java and Python.
* Comfortable writing detailed design documents
Contact us at [email protected]