Description

Design, build, and support scalable, production-grade data pipelines and applications within the enterprise data platform.

This role is hybrid.

Responsibilities

• Design and maintain end-to-end data pipelines using Azure Data Factory and Azure Functions.
• Develop and optimize SQL models, stored procedures, and data transformations.
• Build backend services, APIs, and integrations using C# and .NET.
• Implement event-driven and batch processing patterns to ensure data integrity and performance.
• Set up monitoring, logging, and alerting for pipelines and services.

Required Skills

• 10+ years of experience in software or data engineering.
• Strong SQL skills, including data modeling and performance tuning.
• Hands-on experience with C# and .NET development.
• Experience with Microsoft Azure environments (ADF, Functions).
• Experience building APIs and service-based architectures.
• Strong understanding of ETL/ELT patterns and data pipeline design.
• Experience with large-scale or distributed data systems.

Preferred Skills

• Experience with Apache tools (Kafka, Spark, Flink) and Java-based frameworks.
• Familiarity with event-driven architectures (e.g., Event Hubs) and Azure API Management.
• Experience with CI/CD pipelines and DevOps practices.

Key Skills

Education

Any Graduate