
Senior Cloud Data Solutions Specialist
1 week ago
Design and Develop Scalable Data Pipelines
">- Job Summary:
We are seeking an experienced Cloud Data Engineer to design, develop, and maintain scalable ETL pipelines using Azure services.
Key Responsibilities:
- Design and develop cloud-based ETL pipelines using Azure Data Factory and related services.
- Process, transform, and load large datasets into AWS Datalake or other data stores.
- Collaborate with data architects, analysts, and business stakeholders to deliver efficient data solutions.
- Work closely with data scientists to build effective data workflows.
Required Skills:
- Strong hands-on experience in Informatica and cloud-based analytics.
- 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.
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.
This is an Exciting Opportunity to Work with Cutting-Edge Cloud Technologies:
If you're ready to take on new challenges, we'd love to hear from you.
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