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DataOps & Observability Engineer

Lisboa

Job description

Develop processes and enablement mechanisms that allow the data ecosystem to identify which data deliverables require action from the teams.

This involves gathering requirements and implementing monitoring systems for data pipelines across multiple platforms and environments (cloud, legacy systems, etc.).

The role will act as the owner responsible for ensuring that requirements are properly prioritized across teams, while also supporting the adoption and effective use of the tools.

Main Responsibilities

Develop and continuously improve Data Observability capabilities, enabling the collection of orchestration information across multiple platforms and the configuration of data pipelines.
Create automation workflows using DiFy, an ITOps platform focused on process automation and AI agent development.
Organize and deliver workshops to promote awareness, knowledge sharing and adoption of the tools.
Develop and maintain ELK dashboards using OpenSearch.

Requirements

GitHub
Google Cloud Platform (GCP): Cloud Run, BigQuery, Firestore, Google Cloud Storage (GCS)
Apache Airflow
Python (FastAPI, Flask)
OpenSearch (Elasticsearch/Kibana ecosystem)
Ability to deliver workshops, facilitate knowledge-sharing sessions and support users throughout the onboarding and adoption of new tools and platforms. - Nice to Have

Project: 6-12 months

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