Job Descriptions:
Define the architecture of the Measurable AI Analytics platform.
Build a robust and scalable data foundation, from logging to streaming pipelines, data filtering, and email parsing.
Implement our data stack using modern technologies such as Apache Spark, Kafka, HDFS, and Cassandra.
Optimize our data pipelines and establish best practices for table schemas, data models, and data storage.
Build efficient solutions on top of AWS and Azure using Python, Scala, and Go.
Requirements:
Minimum of 1 year of experience in building backend systems.
BSc in Computer Science, Electronic Engineering, Mathematics, or a related field.
Solid knowledge of Golang, Python, or Java.
Solid knowledge of MySQL or MongoDB.
Experience working with popular cloud solutions such as AWS, Azure, or GCP.
Knowledge of Docker and Kubernetes.
Enthusiasm for working with high-volume heterogeneous data and distributed systems.
Bonus Points:
Experience working on and deploying large-scale systems.
Experience with Hadoop, Cassandra, Kafka, MongoDB, Redis, or MySQL.
Server-side shell scripting experience.
