Data Engineer

Há 12 horas


Recife PE, Brasil beBeeData Tempo inteiro

Senior Data Engineer - SQL and Cloud Expert About the Position: We are seeking a highly skilled Senior Data Engineer to lead the design, development, and maintenance of robust data models and SQL-based solutions. Job Summary: The ideal candidate will have strong proficiency in SQL and experience with relational database design and data modeling. Key Responsibilities: Data Modelling and SQL Development Design and implement scalable and efficient relational and dimensional data models using Google Cloud Platform services such as BigQuery, Cloud SQL, and Dataflow. Develop, optimize, and maintain complex SQL queries, stored procedures, and functions. Ensure data quality and integrity across various data sources and reporting layers. Collaborate with stakeholders to understand data requirements and translate them into technical specifications. Cloud Expertise Leverage Google Cloud Platform services to build, deploy, and manage cloud-based data warehouses and data lakes. Implement and manage infrastructure-as-code solutions for GCP data environments using tools like Terraform. Monitor and optimize GCP resource performance and cost for data platforms. Collaboration and Communication Serve as a primary liaison among business leads, product managers, and data/engineering teams. Facilitate demos, knowledge-sharing sessions, and best-practice documentation for data solutions. Promote adoption of new data capabilities and practices; gather feedback for continuous improvement. Release and Change Management Coordinate release plans, timelines, and stakeholder readiness for data model and SQL deployments. Ensure training, job aids, and rollout communications are prepared and delivered for data solutions. Track post-release issues, adoption, and stabilization metrics related to data platforms. Requirements: Strong proficiency in SQL and experience with relational database design and data modeling. Demonstrable experience with Google Cloud Platform (GCP) data services (e.g., BigQuery, Cloud SQL, Dataflow). Familiarity with infrastructure-as-code solutions, e.g., Terraform. Experience with data quality checks and data governance best practices. Experience with Git and Git providers, e.g., GitHub/BitBucket/GitLab. ]]>



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