Key Responsibilities:

Design and implement batch and real-time data ingestion pipelines.

Build scalable ETL/ELT solutions using contemporary data engineering frameworks.

Develop and optimize data models, data lakes, and data warehouse architectures.

Ensure data quality, lineage, governance, and compliance standards.

Optimize performance, reliability, and scalability of data processing workflows.

Collaborate with cross-functional teams to define data requirements and solutions.

Implement monitoring, alerting, and operational controls for data platforms.

Support cloud-native data solutions across Azure.

Design and develop RESTful APIs and microservices using spring and Spring Boot.





Implement business logic and integration services for enterprise applications.

Build scalable and resilient distributed systems using cloud-native patterns.

Collaborate with architects, product owners, and QA teams throughout the SDLC.

Ensure code quality through unit testing, code reviews, and automated testing.

Optimize application performance, security, and reliability.

Implement observability through logging, monitoring, and tracing solutions in datadoog

Participate in CI/CD pipeline development(declarative pipeline using Jenkins core) and deployment automation.

📌 Data Engineer With Java – 6 10 Chennai (India)
🏢 TRIGENT SOFTWARE PRIVATE
📍 India