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has a hands on experience developing data processing, enrichment, transformation, and integration solutions
has practical experience with data scrapping and approached on how to automate and scale these jobs
idealy also has experience with ML and Statistical Analysis and building Prediction Models
go
python
sql
kafka
redis
elasticsearch and elasticsearch DSL
helm
k8s
clickhouse
scala
spark
jenkins
luigi
NATS
Collect, Analyze and Interpret results, through a large amount of data
Develop pipelines and ETL tasks in order to facilitate the extraction of insights from data
Build, maintain, and scale data pipelines that empower Agenteur product.
Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.
It is important you being able to maintain a minimum of 4 hours overlap with our team (UTC+3). Ideally from 7AM to 11 AM UTC time
$40,000 — $60,000/year
Location
🌏 Worldwide