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Azure Data Ops Engineer

Company: Applied Information Sciences
Location: Chevy Chase
Posted on: October 14, 2021

Job Description:

As an Azure Data Ops Engineer, you will be responsible for providing and maintaining a robust and scalable enterprise data platform in Microsoft Azure. This includes configuring and provisioning components based on end-users needs, building and maintaining Azure services across the platform, integrating additional tools and resources, training platform users and advising on best practices, and providing continued monitoring, security, and business continuity solutions for platform stability. You will support our IT stakeholders in their efforts to design, deploy, and maintain data platform services that provide value to the business. You will collaborate with other IT teams, including architecture, network teams, and DevOps Catalog to build solutions that meet the customer’s needs within our organizational parameters and processes.

What You'll Be Doing

  • Work effectively with engineers using cutting edge technologies to solve challenging enterprise problems
  • Interact with DevOps teams to support and provide technical solutions in a rapid development CI/CD environment to address the requirements of the enterprise
  • Use Azure Services experience working with Azure Data & Storage, Azure Analytics & Azure IoT tools, as well as the traditional Microsoft BI stack
  • Work with platform users to understand requirements and use cases, and to advise on strategy and best practice for use of the platform.
  • Monitor cloud-based systems and components for availability, performance, reliability, security, efficiency, and ability to meet non-functional requirements and service level agreements.
  • Develop new solutions for automation solutions to be available through the service catalog
  • Strong, proven problem-solving skills and a proven ability to apply critical/analytical thinking to deliver sustainable and creative solutions to complex requirements.
  • As needed, document topology, processes, and solution architecture.
  • Assist with the training and enablement of end users

Location and Travel Details

This is a remote position with occasional travel once COVID restrictions are lifted.

Security Clearance and Citizenship Requirements

This opportunity does not require a clearance. 

Profile of Success

  • Demonstrated experience supporting the Azure storage technologies (Azure Data Lake, Azure Data Factory, Databricks, Azure SQL Data Warehouse & SQL Database)
  • Working knowledge of Azure data movement and transformation capabilities (Azure Data Factory, Data Lake Analytics, Databricks, Stream Analytics)
  • Experience designing and implementing efficient and robust Azure service model support strategies
  • Demonstrated working experience implementing Azure cloud monitoring strategies
  • Demonstrated experience designing and implementing cloud business continuity, disaster recovery plans
  • Experience managing and troubleshooting Azure Data Factory Pipelines and linked services
  • Demonstrated DevOps and CI/CD Experience
  • Working experience with managing monitoring tools (Eg. AppInsights, Splunk)
  • Professional experience with Apache spark cluster management
  • Experience supporting and managing AKS clusters
  • Experience debugging ETL/ELT issues
  • Experience with Powershell and Azure CLI Scripting
  • Proven ability to work with clients to understand requirements and envision data ingestion solutions
  • Proven cloud infrastructure architecture experience
  • Experience in a client-facing environment and interacting with technical and business stakeholders
  • Knowledge of traditional cloud network architecture
  • Proven expertise in the implementation of encryption technologies (SSL, encryption, PKI)
  • Prior experience in applying Agile development methodology.
  • Experience performing Root Cause Analysis (RCA) for application and infrastructure
  • Working experience in Azure DevOps
  • Experience with visualization tools such as Power BI or Tableau

Desirable Skills

About AIS

AIS, Dedicated to Our People


AIS employees can spend their entire career at AIS doing challenging, rewarding work and reach their desired level of achievement and responsibility. We offer the opportunity to move up, without the obligation to move out of a position where one excels. We are committed to our employee's success; however, they define it.


It's our dedication to our employees that inspired our leadership to invest in our future and become partially employee-owned through an Employee Stock Ownership Program (ESOP).


Our employees are our greatest strength, and we do all that we can to serve them. We invest in technology as early adopters, allowing us to create transformative and innovative solutions for our customers while exposing our team to cutting edge technology.


We hire outstanding individuals who are committed to curiosity, passionate about emerging technology, and who are excited to find innovative solutions for the biggest tech challenges facing international brands and government agencies today.


We Invest in Individuals Committed to Innovation


AIS is seeking professionals of a certain character and level of excellence. People that we can learn from and that we can help grow to achieve their personal career goals.


We are looking for:

  • Smart people with a passion for technology
  • Strong technical capabilities with a consultancy mindset
  • Close involvement with local technical communities
  • A willingness to think outside of the box to provide innovative solutions to clients
  • Ability to solve challenging technical business problems
  • Self-directed professionals

Our Core Values

  • Client Success
  • Continued Learning and Technical Excellence
  • Strong Client Relationships
  • Citizenship and Community

EEO Statement

Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status or any other basis covered by law. Employment decisions are based solely on qualifications merit, and business need.

Keywords: Applied Information Sciences, Washington DC , Azure Data Ops Engineer, Other , Chevy Chase, DC

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