Descrição de Vaga
| Código: | 14909 |
| Título da vaga: | GCP Developer - 5053 |
| Local: | São Paulo, SP |
| Nível Profissional: | Analista |
| Nível Acadêmico: | Ensino Superior Completo |
| Áreas de Atuação Profissional: | TI - SAP |
| Descrição: | Main Skill GCP Developer Required Qualifications 3-5 years of Cloud environment with expert skills in SQL Main Activities and Responsibilities Data Pipeline Development: Design, develop, and implement robust Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes and data pipelines. This involves ingesting data from a variety of sources, including databases, APIs, flat files, and streaming platforms, into our data warehouses or data lakes. • Database Management and Optimization: Manage and maintain our relational and NoSQL databases, ensuring optimal performance, scalability, and reliability. You will be responsible for writing complex SQL queries, performing data manipulation, and ensuring data integrity. • Data Integration: Integrate disparate data sources to create a unified, consistent, and accurate view of our data, resolving any discrepancies and ensuring data quality across systems. • Data Quality Assurance: Implement and monitor rigorous data quality checks, validation processes, and governance practices to guarantee the accuracy, reliability, and security of our data assets. • Performance Tuning: Identify and resolve performance bottlenecks within data pipelines and database systems to enhance overall system efficiency and ensure timely data availability. • Cloud Platform Utilization: Leverage various services and tools within cloud platforms (e.g., Google Cloud) for efficient data storage, processing, and analytical solutions. • Documentation: Create and maintain thorough documentation for data architecture, data flows, processes, and data models. This ensures clarity, facilitates knowledge transfer, and promotes adherence to best practices. • Collaboration: Work effectively with cross-functional teams, including data scientists, data analysts, and business stakeholders, to understand their data requirements and deliver appropriate data solutions that support their analytical and reporting needs. Soft Skill (Personal characteristics) Preferred Skills (Bonus Points): • Familiarity with data visualization tools (e.g., PowerBI). • Relevant cloud data certifications (e.g., AWS Certified Data Engineer, Google Professional Data Engineer, Azure Data Engineer Associate). Soft Skills: • Problem-Solving: Strong analytical and problem-solving abilities, with the capacity to effectively troubleshoot and resolve complex data-related challenges. • Communication: Excellent verbal and written communication skills to articulate complex technical concepts clearly to both technical and non-technical stakeholders. • Collaboration: A team player with the ability to work effectively within cross-functional teams and contribute positively to a collaborative environment. • Continuous Learning: A genuine commitment to staying updated with the latest trends, tools, and technologies in the ever-evolving fields of data engineering and analytics. English Level Advanced Service Remote End Date 12/31/2025 Address's Allocation (Full address) Mexico Time zone (ideal 12:00 up to 21:00 BR Time). 9:00am to 6:00 p.m. MX Time |
| Habilidades: | Remoto. |