Lead Engineer
Primary Skills
- Spring REST, Java, Hibernate, Oracle RDBMS, Java REST Web API, Spring Core, Spring Boot, MySQL
Job requirements
- Key Responsibilities • 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. Required Skills and Experience • Java + Spring Boot: Build and maintain microservices. • Apache Flink: Develop and optimize streaming/batch pipelines. • Cloud Native: Docker, Kubernetes (deploy, network, scale, troubleshoot). • Messaging & Storage: Kafka; NoSQL KV stores (Redis, Memcached, MongoDB etc.). • Python: Scripting, automation, data utilities. • Ops & CI/CD: Monitoring (Prometheus/Grafana), logging, pipelines (Jenkins/GitHub Actions). • Core Engineering: Data structures/algorithms, testing (JUnit/pytest), Git, clean code.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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