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Azure Cloud Data Engineer-Hybrid 2x a week in office

Job Title
Azure Cloud Data Engineer-Hybrid 2x a week in office
Job ID
27685654
Location
Vienna,  VA 22180
Other Location
Description
Responsibilities:
  • Design and build highly scalable data pipelines for near real-time and batch data ingestion, processing, and data integration
  • Technical leadership and knowledge to provide technical guidance and educate team members and coworkers on development and operations of streaming and event driven applications
  • Be a hands-on mentor and advocate to ensure successful adoption of new tools, processes, and best practices across the organization
  • Recognize potential issues and risks during the project implementation and suggest mitigation strategies
  • Communicate and own the process of manipulating and merging large datasets
  • Expert and key point of contact between the API teams and the project/functional leads
  • Work directly with business leadership to understand data requirements; propose and develop solutions that enable effective decision-making and drives business objectives
  • Prepare advanced project implementation plans which highlight major milestones and deliverables, leveraging standard methods and work planning tools
  • Lead the preparation of high-quality project deliverables that are valued by the business and present them in such a manner that they are easily understood by project stakeholders
  • Perform other duties as assigned

Qualifications and Education Requirements:
  • Degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience
  • Working knowledge of message-oriented middleware/streaming data technologies such as Kafka/NiFi, MQ, Azure Event Hub
  • Must have strong programming skills / experience in C# / .NET, Logic App
  • Must have strong programming skills / experience in Azure Functions using various protocols/triggers, Git/GitHub
  • Hands-on experience in configuring Azure Event Hub, Event Grid, Stream Analytics, logic/function apps and JSON
  • Expert level skills in Python, Databricks, Azure Data Factory
  • Experienced in the use of ETL tools and techniques and have knowledge of CI/CD
  • Experience & Expertise in cloud NoSQL databases, ideally Azure/Azure Data Services/Cosmos DB or equivalent
  • Knowledge of and experience scaling one or more of the popular data streaming and processing technologies like Kafka, Spark, Spark Streaming, etc.
  • General knowledge and experience with configuration, load-balancing, auto-scaling, monitoring, networking, and problem-solving in a cloud environment
  • Demonstrates change management and excellent communication skills
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.  EEO IS THE LAW CC Pace invites any applicant and/or employee to review the Company’s written Affirmative Action Plan.  This plan is available for inspection upon request. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us.

 

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