
Cloud Data Engineer - SAP Cloud Ops
- São Leopoldo - RS
- Permanente
- Período integral
- Design end-to-end cloud-native data architectures, including ingestion, storage, processing, and consumption layers.
- Recommend Azure services aligned to scalability, performance, and security requirements.
- Build scalable data pipelines using Azure Data Factory, Azure Databricks, or other ETL tools.
- Integrate data from structured, semi-structured, and unstructured sources using best-in-class transformation logic.
- Design efficient data models and schemas to support analytics, reporting, and AI/ML use cases.
- Optimize performance of databases and queries using partitioning, indexing, caching, and other techniques.
- Implement monitoring, logging, and alerting for pipelines and storage systems using Azure Monitor, Log Analytics, and custom scripts.
- Proactively identify, diagnose, and resolve production issues to ensure reliability and uptime.
- Stay current with emerging technologies in Azure data services.
- Evaluate new tools and approaches to improve system efficiency, scalability, and cost-effectiveness.
- Strong expertise in Azure data ecosystem, including:
- Storage: Azure Data Lake Storage, Azure SQL Database, Cosmos DB
- Processing: Azure Synapse Analytics, Azure Databricks, HDInsight
- Integration: Azure Data Factory, Logic Apps
- Proficiency in SQL, Python, and/or Scala for data wrangling, analysis, and transformation.
- Solid knowledge of data modeling, schema design, and normalization techniques.
- Hands-on experience with DevOps practices including CI/CD, IaC with Azure DevOps, ARM templates, or Terraform.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Solutions Architect Expert
- 3+ years of experience in data engineering with a focus on cloud platforms (preferably Azure).
- Demonstrated experience building and supporting production-grade data pipelines and analytics platforms.
- Familiarity with Agile methodologies and cross-functional team collaboration