Senior Data Management Engineer
Senior Data Management Engineer
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1 Vacancy
Job Description
A leading U.S. call analytics company is seeking a Senior Data Management Engineer to drive innovation harness the power of data and deliver actionable insights to clients. In this impactful role you will design scalable systems build dynamic user interfaces and enhance realtime analytics tools enabling businesses to make smarter faster decisions.
As part of the Product Engineering Team youll collaborate across disciplines to develop robust APIs highperformance data pipelines and cuttingedge UIs merging fullstack development with data platform engineering. Your work will shape the future of call analytics and customer engagement.
Key Responsibilities
- API & Microservices Development: Design and maintain scalable APIs and microservices for realtime data ingestion processing and analytics leveraging Azure cloudnative technologies (e.g. Azure Functions Event Hubs Cosmos DB).
- Data Pipeline Optimization: Collaborate with data engineers to build and refine realtime data pipelines using Azure Data Explorer Snowflake and Kafka/Confluent.
- ETL and Data Integration: Create efficient ETL workflows and perform complex data ingestion and transformation using .NET/C# SQL and PySpark.
- Data Architecture & Storage: Design and manage data lakes and storage solutions using Azure Data Lake Parquet and Delta Tables.
- RealTime Processing: Work with big data and realtime data processing frameworks to support highvolume analytics.
- Legacy System Modernization: Lead the migration of legacy platforms to a centralized data of record system ensuring data integrity eliminating redundancy and improving operational efficiency.
- Pipeline Innovation: Develop configurable pipelines via APIs to support realtime omnichannel conversational analytics and integration with tools like Twilio.
- Performance Optimization: Optimize data processing and storage solutions for scalability costefficiency and high performance.
Qualifications
- Bachelors or advanced degree in Computer Science Engineering or a related technical field (or equivalent professional experience).
- 5 years of experience in fullstack development specializing in datadriven platforms and scalable systems.
- Expertise in C# and .NET technologies (preferably .NET 8).
- Proficiency with Azure cloud services (e.g. Data Explorer Functions Event Hubs Cosmos DB).
- Handson experience with Snowflake and optimizing data pipelines for realtime analytics.
- Familiarity with realtime messaging systems like Kafka/Confluent.
- Advanced knowledge of modern web frameworks such as React Angular or Vue.js.
- Experience in building and consuming RESTful APIs and working with microservices architectures.
- Strong background in data ingestion ETL workflows and realtime analytics pipelines.
- Proven skills in query performance optimization and efficient data processing.
Preferred Skills
- Experience with Java or Scala is a plus.
- Familiarity with CI/CD tools like Azure DevOps or GitHub Actions.
- Understanding of Agile methodologies (Scrum Kanban).
Employment Type
Full Time
