Azure Data Factory Data Bricks

The job responsibilities are described herein:

• Develop notebooks in Azure Databrciks using Python, R, SQL programming languages.
• Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform.
• Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions.
• Sr. Azure Cloud Engineer coordinating with platform, APIM, Azure Dev Ops, and Support.
• Ability to own projects from end to end, working with business stakeholders, IT teams, data stewards, and 3rd party companies to ensure accurate and insightful outcomes.
• Enable streaming data use-cases and standard design patterns in a big data environment.
• Collaborating with data scientists to integrate algorithms and models into automated processes. Applying expertise, judgment, and precedents to contribute to the resolution of moderately complex problems.
• Review and provide feedback on core code changes and support production deployment.

Provide technical guidance on technology implementation and architectural changes.

Analyze and design technical solutions on Azure to address business needs.

Develop, test, and modify software to improve efficiency of data platforms and applications.

Integrating data from a variety of sources, assuring that they adhere to data quality and accessibility standards.

Azure Data Bricks, Proficiency in Python; R;
Azure data factory, Azure Functions, Azure Data Lake storage, Azure Event Grid, Azure Log Analytics, Azure Monitor, Azure Service Bus, Python, SQL Server, Oracle / PL-SQL, T-SQL and SQL stored procedures, Azure Dev Opsx

PRIMARY RESPONSIBILITIES ( Azure Data Bricks)

Azure Data Bricks, Proficiency in Python; R;
Azure data factory, Azure Functions, Azure Data Lake storage, Azure Event Grid, Azure Log Analytics, Azure Monitor, Azure Service Bus, Python, SQL Server, Oracle / PL-SQL, T‑​​​​​​​…