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Keyrus
Keyrus
1.001 – 5.000 Angajați
Sponsor pentru viza H1BAnaliza datelorB2BConsultanță
Keyrus este o companie internațională de date și consultanță care ajută organizațiile să transforme datele în informații utile și acțiuni fundamentate. Activitatea sa acoperă analiza datelor, consultanța în domeniul datelor și gestionarea datelor, prin abordări independente de furnizori și adaptate diferitelor nevoi de afaceri. Prezentă în 18 țări, Keyrus reunește echipe axate pe expertiză analitică, colaborare și inovație practică. Angajații își pot dezvolta în continuare competențele prin platforma de învățare KLX a companiei, contribuind în același timp la proiecte susținute de o cultură organizațională deschisă, incluzivă și transparentă.
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Senior GCP Data Engineer at Keyrus - Remote in Brazil

Senior Data Engineer responsible for building GCP pipelines and Lakehouse solutions at Keyrus. Integrate data and improve analytical platforms for clients.

BRBraziliaRemoteNormă întreagăSeniorLimbă Obligatorie: portughezăInginer de date
ApacheBigQueryCloudERPETLGoogle Cloud PlatformInformaticaNeo4jSparkSQL

Descriere

  • Design, build, and maintain scalable, efficient GCP data pipelines focused on BigQuery
  • Manage data ingestion from ERP systems, files, and APIs
  • Develop, optimize, and document dimensional models and analytical solutions within a Lakehouse architecture
  • Orchestrate and monitor ETL and ELT workflows with Informatica Cloud
  • Collaborate with Analytics, Data Science, and Product teams on data-driven solutions
  • Maintain data quality, governance, and security throughout the data lifecycle
  • Apply engineering standards for version control, automation, and testing
  • Tune queries and improve analytical environment performance
  • Coordinate requests and expectations with leadership, business teams, and other stakeholders
  • Contribute technically to the evolution of data practices, processes, and architecture

Cerințe

  • Extensive experience with Google Cloud Platform
  • Strong proficiency in BigQuery
  • Experience orchestrating data pipelines with Informatica Cloud
  • Experience with DataStage and Apache Spark on Databricks
  • Understanding of Lakehouse analytical architectures
  • Experience with dimensional modeling and data warehousing
  • Experience integrating data from ERP systems, files, and APIs
  • Advanced SQL skills, including query optimization and performance tuning
  • Experience with data governance, quality, and security practices
  • Experience delivering complex projects with cross-functional teams and stakeholders
  • Knowledge of Microsoft Analysis Services is advantageous
  • Experience with graph databases, particularly Neo4j, is advantageous
  • Experience in multi-cloud or hybrid environments is advantageous
  • Experience with real-time data integration and streaming is advantageous
  • Knowledge of Agile methodologies is advantageous
  • Experience applying DevOps practices to data engineering is advantageous
  • Excellent communication skills with technical and non-technical audiences
  • Ability to turn business requirements into practical, scalable solutions
  • Ability to influence decisions and establish trusted stakeholder relationships
  • Analytical approach with strong problem-solving skills

Beneficii

  • Exposure to diverse experiences and multicultural collaboration at Keyrus
  • Collaboration with specialists across functions and geographies
  • Opportunities for technical growth and knowledge exchange
  • Remote work arrangement
  • Interaction with colleagues around the world
  • Opportunity to contribute to high-quality projects

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