Senior Data Engineer, GCP

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design, develop, and maintain robust, scalable, and efficient data pipelines within a GCP environment, focusing on BigQuery.

• Implement and oversee data ingestion processes from ERP systems, files, and APIs.

• Create, enhance, and document dimensional data models and analytical solutions within a Lakehouse architecture.

• Orchestrate and monitor ETL/ELT processes utilizing Informatica Cloud.

• Collaborate with Analytics, Data Science, and Product teams to facilitate data-driven analyses and solutions.

• Ensure data quality, governance, and security throughout the entire data lifecycle.

• Employ data engineering best practices, such as version control, automation, and testing.

• Optimize queries and improve the performance of analytical environments.

• Manage requests and align expectations among various stakeholders, including leadership and business teams.

• Contribute technically to the advancement of data practices, processes, and architecture.

⛳️ Requirements

• Strong experience with Google Cloud Platform (GCP).

• Proficiency in BigQuery.

• Experience using Informatica Cloud for orchestrating data pipelines.

• Familiarity with DataStage and Apache Spark operating on Databricks.

• Understanding of Lakehouse-based analytical architectures.

• Experience in dimensional modeling and data warehousing.

• Experience in ingesting and integrating data from ERPs, files, and APIs.

• Advanced SQL skills, including best practices for optimization and performance tuning.

• Experience with data governance, quality, and security.

• Proven ability to work on complex projects and collaborate with various teams and stakeholders.

• Knowledge of Microsoft Analysis Services is a plus.

• Experience with graph databases, particularly Neo4j, is a plus.

• Experience in multi-cloud or hybrid environments is a plus.

• Experience with real-time data integration and processing (streaming) is a plus.

• Familiarity with Agile methodologies is a plus.

• Experience applying DevOps practices to Data Engineering is a plus.

• Excellent communication skills with both technical and non-technical audiences.

• Ability to translate business needs into effective, scalable solutions.

• Capability to influence decisions and cultivate trusted relationships with stakeholders.

• Analytical mindset and strong problem-solving abilities.

🏝️ Benefits

• Experience diversity and multiculturalism at Keyrus.

• Collaborate across various specialties, functions, and geographies.

• Opportunities for technical development and knowledge sharing.

• Flexibility of remote work.

• Engage with individuals from around the globe.

• Opportunity to participate in high-quality projects.