Data Engineer at CustomerGlu (Techstars '21)

We are a young team working on an exciting product called CustomerGlu.

CustomerGlu is a low code interactive user engagement platform.
We're backed by Techstars and top-notch VCs from the US like Better Capital and SmartStart.

We are currently looking for Data Engineers who can be part of our journey in building this product and scaling it up.

Responsibilities:

Design and build high performing data platform which is responsible for extraction, transformation and loading of data.
Develop low-latency real-time data analytics and segmentation applications.
Setup infrastructure for easily building data products on top of the data platform.
Be responsible for logging, monitoring and error recovery of data pipelines.
Build workflows for automated scheduling of data transformation processes.

Requirements:

Experience working with databases like MongoDB and DynamoDB.
Knowledge of building batch data processing application using Spark.
Previous experience in real-time data processing using Kafka or Kinesis will be preferred.
Understanding of how backend services like HTTP APIs and Queues work.
Write good quality, maintainable code in one or more programming languages like Python, Scala and Java.
Knowledge of Statistics and Machine Learning is a plus.