
Scalable Cloud Data Solutions Architect
11 hours ago
A senior-level professional is required to design and develop scalable ETL pipelines using Azure services and integrate data into AWS Datalake or other modern data platforms.
Key Responsibilities:
- Design, develop, and maintain large-scale data pipelines using cloud-based analytics tools.
- Process, transform, and load massive datasets into cloud-based data stores.
- Collaborate with cross-functional teams to gather requirements and deliver efficient data solutions.
- Work closely with data scientists to build effective data workflows.
- Create and manage data storage solutions including cloud-based databases and object storage systems.
- Implement data validation and cleansing procedures to ensure data quality and integrity.
- Monitor and troubleshoot data pipeline issues to ensure data availability and consistency.
- Optimize pipelines for scalability, performance, and cost-efficiency.
Required Skills:
- Strong hands-on experience in cloud-based analytics and Informatica.
- Expert-level knowledge of: Azure Data Factory, Azure Synapse Analytics, Azure SQL, Azure Data Lake & Azure App Service.
- Experience with API ingestion and streaming ingestion methods.
- Familiarity with DevOps (CI/CD) and Infrastructure as Code.
- Strong understanding of data warehouse modeling (Kimball, Inmon).
Desirable Skills:
- Knowledge of: Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, Power BI.
- Working knowledge of Python & Experience in developing security models.
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