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DataOps Engineer with Python and AWS Experience

DataOps Engineer with Python and AWS Experience
Idée Blanche
4 months 2 weeks ago

Career Information

As data engineer, you will oversee conception, development, quality, deployment and use in production of applications processing geospatial data to Analytics Ready Data and analytics computing. Applications run on highly scalable cloud environment where performances and mastering running costs are key. The position requires a strong DevOps culture. The work will be done in collaboration with team members (data scientists, developers) and with other teams in the company (project managers, functional teams, other development, and IT teams).

Responsibilities

  • Development and maintenance of earth observation data automatic ingestion and treatment pipelines from Analytics Ready data scope including applications on a cloud environment.
  • Monitor and manage operational phase of application: deploy application, monitor running, issues and performances, continuous improvement, performance and costs optimization of applications
  • Architecture and conception of evolutions or new applications, selecting best technical solutions based on application requirements, existing architecture, technological landscape and running costs.
  • Support and documentation of applications.
  • Technical watch on software upgrades for component used in applications, including webinars, conferences. This watch should lead to recommendations to improve scalability and interoperability with EO community.

Education, Knowledge and Abilities

More than 3 years of previous experiences.

  • Development competences: Senior level

o Languages:

▪ Required: Java, Spark (scala), Python ▪ Should have: .NET

o Development tools: IntelliJ IDE, GIT, Maven

o Other technologies: Messaging (RabbitMQ, Kafka), Databases (PostGre, Cassandra/ScyllaDB, VerticaDB) • Operational competencies: Senior level

o Docker,Kubernetes

o Cloud environment: AWS

  • Significant experience in developing processing chains of data, if possible with geospatial
  • data.
  • English: fluent in technical context to work with international colleagues.

Job Details

Type d'emploi : CDI, Temps plein

Statut : Cadre

Salaire : 40 000,00€ à 45 000,00€ par an

Expertise level

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