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.
Recognize potential issues and risks during the project implementation and suggest mitigation strategies.
Communicate and own the process of manipulating and merging large datasets.
Work directly with business leadership to understand data requirements; propose and develop solutions that enable effective decision-making and drives business objectives.
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, MQ, Azure Event Hub, Spark, Spark Streaming
Must have strong programming skills / experience in C# / .NET, Logic App
Must have strong programming skills / experience in Azure Functions using various protocols /triggers.
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 Cosmos DB or equivalent