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Keyrus is an international data and consulting company that helps organizations turn data into insight and informed action. Its work spans data analytics, data advisory, and data management, with vendor-independent approaches tailored to different business needs. Operating across 18 countries, Keyrus brings together teams focused on analytical expertise, collaboration, and practical innovation. Employees can continue developing their skills through the company’s KLX learning platform while contributing to projects shaped by an open, inclusive, and transparent workplace culture.
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.
Description
- 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
Requirements
- 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
Benefits
- 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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