Senior Data Engineer Azure

Job Description

Cloud Provider: Microsoft Azure Cloud

Cloud services: Azure Event Hub Azure IoT Hub Azure IoT Edge Azure stream analytics Azure SQL Database Azure Data Lake Azure Data Factory Azure Service Bus Apache Kafka Azure Cosmos DB Azure Blob Storage Azure Search Azure App Service ARM template Azure SQL Analytics Azure AD Azure VNet.

Message Brokers: Azure Service Bus Apache Kafka RabbitMQ

Operating System: Linux

Container Technology: Docker

Container Management System: Kubernetes

Version Control System: Azure DevOps Git GitHub Enterprise

Build Orchestration and Deployment: Looper Concord OneOps

Design Develop (coding unit testing debugging troubleshoot & support) and maintain azure cloud based data streaming solutions

Lead the Operations & Support activities. Monitor the Service now tickets and respond. Identify technical tickets and assign it to development team for break fix.

Evaluate requirements for an Azure Event Hub and Stream Analytics architecture fulfilling the analytics and data storage requirement

Evaluate potential data streaming solutions by using Azure Event Hub/Kafka or Azure Stream Analytics

Deploying Azure Resource Manager JSON Templates from PowerShell

Code and automation create to new system for scaling deployment mission critical operation of cloud

Worked in mixed role DevOps: Azure Architect/System Engineering network operations and data engineering

Analyze and troubleshoot production issues and provide immediate fixes.

Work with client team to get the clarity on the backlog. Prioritize the backlog and track to a closure.

Develop design specifications installation instructions implementation & security guidelines and other system-related information

Work with client team to get the clarity on the backlog. Prioritize the backlog and track to a closure.

Implement solutions focusing on reuse and industry standards at a program level.

Ensure compliance with established architecture design patterns policies standards and best practices.

Identifying production and non-production application issues.

Preferred Skills:

Overall 8 years of data engineering experience with 2+ years of experience in design and development of data streaming solution by using Azure cloud services.

- Hands on experience in design and implementation of streaming solutions on IoT Edge by using Azure event hub/Apache Kafka and Azure Stream Analytics.

- Work experience in an integration of data streaming components with data analytics azure services (Power BI) to demonstrate the capabilities of Azure Stream Analytics on processing telemetry data.

- Good understanding on Azure Stream Analytics solution patterns Common query patterns User defined functions Geospatial functions Job states Checkpoint and replay error policies.

- Collaborate with application architects on infrastructure as a service (IaaS) applications to Platform as a Service (PaaS)

- Knowledge on Azure Data Factory (ADF) Integration Run Time(IR) File System Data Ingestion Relational Data Ingestion

- Good understanding on telemetry data techniques with Hot path and Cold path storage

- Develop test and maintain SQL queries and stored procedures built and with established standards

- Experience with MS SQL Server Integration Services (SSIS) T-SQL skills stored procedures triggers

- Worked in mixed role DevOps: Azure Architect/System Engineering network operations and data engineering

***Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity