Lead Engineer developing java applications and maintaining data pipelines for Digital Engineering. Collaborating with teams to ensure data reliability and compliance while optimizing distributed systems.
Responsibilities
Build and support java-based applications in the data domain
Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems.
Implement data ETL processes for batch and streaming analytics requirements.
Optimize and troubleshoot distributed systems for ingestion, storage, and processing.
Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs.
Ensure data security, integrity, and compliance throughout the infrastructure.
Maintain documentation and contribute to architecture reviews.
Participate in incident response and operational excellence initiatives for the data warehouse.
Continuously learn and apply new Hadoop ecosystem tools and data technologies.
Requirements
Build and support java-based applications in the data domain
Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance.
Implement data ETL processes for batch and streaming analytics requirements.
Optimize and troubleshoot distributed systems for ingestion, storage, and processing.
Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs.
Ensure data security, integrity, and compliance throughout the infrastructure.
Maintain documentation and contribute to architecture reviews.
Participate in incident response and operational excellence initiatives for the data warehouse.
Continuously learn and apply new Hadoop ecosystem tools and data technologies.
Java + Spring Boot: Build and maintain microservices.
Apache Flink: Develop and optimize streaming/batch pipelines.
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