Senior Data Engineer
3 weeks ago
We are seeking an experienced IT professional with 12-15 years of experience in data and analytics implementation, preferably in cloud-based data engineering delivery. The ideal candidate will have expertise in big data architecture patterns and experience in delivering end-to-end big data solutions on Azure Cloud.
The selected candidate will be responsible for designing, building, and maintaining large-scale data pipelines using API ingestion and streaming ingestion methods. Additionally, they will work closely with cross-functional teams to identify business needs and develop data-driven solutions.
- 7-8 years of experience in data engineering delivery, including architecture, analysis, development, configuration, and deployment on-prem and Azure
- 4-5 years of experience in implementing Azure data engineering projects
- Expert-level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Data bricks, Purview, and Azure App Service
- Extensive hands-on experience implementing data migration and processing using Azure services, such as Serverless Architecture, Azure Storage, Azure SQL DB/DW, Data Factory, Azure Stream Analytics, Azure Analysis Service, Databricks, Azure Data Catalog, Cosmos Db, Azure Functions, ARM Templates, and Azure DevOps
- Experience working with NoSQL solutions, such as MongoDB, Cassandra, HBase, and Cosmos Db, or cloud-based NoSQL offerings, like DynamoDB and Big Table
Key Requirements:
- 12-15 years of IT experience in data and analytics implementation
- 7-8 years of experience in data engineering delivery, including architecture, analysis, development, configuration, and deployment on-prem and Azure
- 4-5 years of experience in implementing Azure data engineering projects
- Expert-level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Data bricks, Purview, and Azure App Service
Preferred Qualifications:
- Experience with data visualization tools, such as Power BI
- Knowledge of containerization, orchestration, and Kubernetes engine
- Designing and building data pipelines using API ingestion and streaming ingestion methods
Salary: $120,000 - $180,000 per year
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