Software Engineer
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
The Cloud Data Technologies (CDT) team oversees data infrastructure and the management of the end-to-end data lifecycle. As a Software Engineer you will work on our Hadoop-based data warehouse contributing to scalable and reliable big data solutions for analytics and business insights. This is a hands-on role focused on building optimizing and maintaining large data pipelines and warehouse infrastructure.
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.
Requirements
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.
Required Skills:
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.
Company Industry
IT Services and IT Consulting
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- Data Structures
- JavaScript
- Software Development
- Java
- Distributed Systems
