Senior Data Analyst

Primary Responsibilities:

• Develop visual reports, dashboards and KPI scorecards using Power BI desktop.
• Build Analysis Services reporting models.
• Connect to data sources, importing data and transforming data for Business Intelligence.
• Implement row level security on data and understand application security layer models in Power BI.
• Integrate Power BI reports into other applications using embedded analytics like Power BI service (SaaS), or by API automation.
• Use advance level calculations on the data set.
• Design and develop Azure-based data centric application to manage large healthcare data application
• Design, build, test and deploy streaming pipelines for data processing in real time and at scale
• Create ETL packages
• Make use of Azure cloud services in ingestion and data processing
• Own feature development using Microsoft Azure native services like App Service, Azure Function, Azure Storage, Service Bus queues, Event Hubs, Event Grid, Application Gateway, Azure SQL, Azure DataBricks, etc
• Identify opportunities to fine-tune and optimize applications running on Microsoft Azure, cost reduction, adoption of best cloud practices, data and application security covering scalability and high availability
• Mentor team on infrastructural, networking, data migration, monitoring and troubleshooting aspects of Microsoft Azure
• Focus on automation using Infrastructure as a Code (IaaC), Jenkins, Azure DevOps, Terraform, etc.
• Communicate effectively with other engineers and QA
• Establish, refine and integrate development and test environment tools and software as needed
• Identify production and non-production application issues

Senior Cloud Data Engineer Position

Required Skills

Technical Skills:

1. Strong proficiency as a Cloud Data Engineer utilizing Power BI and Azure Data Bricks to support as well as design, develop and deploy requested updates to new and existing cloud-based services.

2. Experience with developing, implementing, monitoring and troubleshooting applications in the Azure Public Cloud.

3. Proficiency in Data Modeling and reporting

4. Design and implement database schema

5. Design and development of well documented source code.

6. Development of both unit testing and system testing scripts that will be incorporated into the QA process.

7. Automating all deployment steps with Infrastructure as Code (IAC) and Jenkins Pipeline as Code (JPaC) concepts.

8. Define guidelines and benchmarks for NFR considerations during project implementation.

9. Do required POCs to make sure that suggested design/technologies meet the requirements. .

Required Experience:

Required Qualifications:

Cloud Certification, preferably Azure