Job Description :
- Heavy Azure. Azure Azure Azure/SQL
- 7+ years IT experience including 2 - 4 years showing success as a technical lead in a Big Data or Data Warehousing Environment.
- Significant depth of expertise and track record of accomplishments in multiple IT technology areas.
- Experience utilizing any of the following: Azure (Data Factory, Data Lake, Machine Learning, SQL Warehouse, Data Bricks), SAP Business Warehouse, Power BI, Business Objects (WEBI, Data Services, Excel Analysis)
- Real-Time Data Analytics
- Creating Data Hubs in Azure
- Streaming Data - most preferably from Ecommerce Platform
- Getting Info Azure Data Lake - Generation 1 or 2
- Analytics in a custom data hub creating dashboards in Azure
- Data Services from Data Lake
- Bonus if you have API integration with Salesforce
Responsibilities :
- Experience Architecting/Engineering multiple event-based analytic data pipelines for Web Commerce Applications
- Experience with streaming analytic tools like Azure Event Hubs, Mulesoft, and Logic Apps
- Experience building real-time data pipelines from data lake to warehouses and dashboards
- Experience with tools like Azure Data Factory, Azure Data Bricks
- Experience Architecting Data Hubs for MDM, Machine Learning, and Analytics Applications
- Experience with Datahub platforms like MarkLogic or Azure Data Lake (Gen 1 or Gen 2)
- Experience providing feature pipelines for Machine Learning solutions such as recommendation engines and behavioral modeling
- Experience with SQL databases and NoSQL Databases (Azure Cosmos DB)
- Experience integrating MDM services into data hub platforms Experience building microservices for integration of data hubs to applications such as CRM
- Experience building services for Salesforce
Education : Bachelors
Skills :
- Azure
- Databricks
- SQL Database experience.
- Mulesoft
- Data Analytics
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Wednesday, October 7, 2020
Data Engineer - Azure Databricks/DataLake (7-10 yrs) (Softtech Career Infosystem Pvt. Ltd.)
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