Senior Software Engineer developing warehouse automation solutions. Collaborating with teams to optimize systems and implement high - performance software.
About the role
- 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.
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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