Descrição de Vaga
| Código: | 15595 |
| Título da vaga: | D&A-Data Engineer - 5431 |
| Local: | São Paulo, SP |
| Região | Outra |
| Nível Profissional: | Sênior |
| Nível Acadêmico: | Ensino Superior Completo |
| Áreas de Atuação Profissional: | TI - Projetos |
| Descrição: | Standard Profile FSR- 5431 D&A-Data Engineer Main Skill • Azure and Snowflake platforms Required Qualifications • 7+ years (5+ years of experience for Sr.DE) of experience in pipeline design, support and development (Batch and Streaming) using Azure cloud services, Snowflake • Proficiency in Python, Snowflake: Advanced/expert-level proven experience in Python and Spark. • Strong understanding of ETL/ELT processes: Proven experience designing and maintaining ETL processes in Databricks and Azure Data Factory, including connectivity with third party systems/APIs, Event Hubs, and other potential data sources. • Experience with Azure Cloud Services: Demonstrated knowledge of cloud platforms—specifically Azure—including storage, security, and resource optimization. • Focus on system maintenance: Strong emphasis on proactive detection and fast reactive maintenance of running jobs and pipelines. • Experience working with Git-based version control (e.g., GitHub, GitLab, Bitbucket) and familiarity with branching strategies, pull requests, and code review workflows. • Excellent assertive communication with users and stakeholders in English. • Understanding of Agile methodologies. • Snowflake and Databricks certifications will be an added advantage Main Activities and Responsibilities • Monitor and respond to alert emails regarding execution failures across all team tools—such as Databricks, Azure Data Factory, or data quality gap reports within our processes. • Review team monitoring reports to identify issues and create the corresponding PBIs/user stories for resolution. • Proactively respond to user questions in team Zoom channels, capture issues in our processes, and implement necessary fixes. • Work extensively with Azure Cloud Services, Azure Data Factory, Databricks, Python, and Spark, Snowflake including handling user requested break-ins such as issue investigation, missing data analysis and remediation of jobs or pipelines that did not run according to their pre-configured schedules Soft Skill (Personal characteristics) • Have a good command of English • Strong analytical and problem solving skill • Good collaboration and team work • Self-learner and proactivity • Able to work independently with minimal supervision • Adaptability and flexibility English Level Advanced |
| Habilidades: | Service Remote End Date 4/15/2027 |