
Cloud Data Architect
2 semanas atrás
This position involves designing, building, and maintaining large-scale data systems that utilize cloud-based infrastructure. The ideal candidate will have a strong background in data engineering principles, with experience working on complex projects from conception to deployment.
Responsibilities:- Design scalable data architectures: Develop end-to-end solutions using Azure services, ensuring scalability, performance, and security requirements are met.
- Develop and automate data pipelines: Build efficient pipelines using Azure Data Factory, Azure Databricks, or other ETL tools, integrating data from various sources.
- Model and optimize data: Design data models and schemas for analytics, reporting, and AI/ML use cases, optimizing database performance using techniques such as partitioning, indexing, and caching.
- Monitor and maintain systems: Implement monitoring, logging, and alerting using Azure Monitor, Log Analytics, and custom scripts, proactively identifying and resolving production issues.
- Continuous learning and innovation: Stay current with emerging technologies in Azure data services, evaluating new tools and approaches to improve system efficiency, scalability, and cost-effectiveness.
- Technical Skills:
- 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
At our organization, we offer a dynamic work environment with opportunities for growth and development. Our team is passionate about delivering innovative solutions that drive business success.
About the Opportunity:As a Cloud Data Engineer, you will be part of a collaborative team driving digital transformation through cutting-edge data solutions. If you're passionate about data engineering and eager to make a meaningful impact, we encourage you to apply.
Key Requirements:- 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
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