Grafana & Python Engineer

AGENSYS CORP
Herndon, VA, United States
3 months ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Databases Extract Transform Load (ETL) Python (Programming Language) Grafana Apache Kafka

Requirements

  • Python ETL
  • Customer has an existing, working, framework and the candidate would need to copy the framework but this requires deep knowledge of how Python works.
  • Candidate would need to write custom utilities
  • The scenario is they are reading from an infinite # of data sources (reading from a REST interface or reading from Kafka) and processing that data into a different format then writing that to their time-series database. They have existing libraries for all of this, but there is a lot of custom work that is happening between the data source processing and the writing to the database. Custom work examples:
  • Utilizing patterns/pagination to sort data
  • Need to utilizing timestamps from the data and use this as opposed to when the data arrived from source
  • Multi-processing framework (this would be a differentiator if a candidate has used this before)
  • Customer is writing to Influx DB today, but the database they are writing to may change.
  • Grafana experience is required
  • Once a story is written (in a Sprint), the story is validated in Grafana, so they need to know Grafana but not be an expert

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

10:40 min

Visualizing Prometheus open metrics using custom Grafana dashboards

Stijn Polfliet · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:37 min

Introduction to Apache Kafka benchmarking and performance analysis

Kirill Kulikov · LIVE

5:08 min

Transforming datasets using Python scripts and aggregation pipeline queries

Maxime Beugnet · World Congress 2021

4:11 min

Building database tables and ingesting synthetic Kafka feeds

Akmal Chaudhri Akmal Chaudhri · LIVE

1:04 min

Visualizing Keycloak performance via standard Grafana troubleshooting dashboards

Alexander Schwartz Alexander Schwartz · World Congress 2025

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