Senior Software Developer vois
6 months ago
**Role purpose**:
As an integration engineer in the Intelligence team, we expect you to maintain the in-house software systems.
- Integrate new data sources by developing plugins.
- To extract key health and inventory information from the data sources using the plugins.
- To transform and transfer the data to data-lake by developing data pipelines for all the European Markets, in accordance with Vodafone strategy and address market specific integration requirements.-
- Should be able to develop the GUI as well as backend systems.
- Designing POC as well as designing and developing the in-house products based on Microservices framework using multiple Web services, load balancers, GKE, Google data pipelines & lambda functions and APIs using CI/CD process.
- Driving Automation service provisioning and middleware configuration. Establishing continuous build environments to speed up software development. Technology focus on (but not restricted to) namely:
- Cloud data pipeline, data storage, cloud Database, cloud computing including Kubernetes, Virtual Machines, serverless etc.
- Cloud data lake and data warehouse
- CI/CD (Continuous Integration/Continuous Delivery) and familiarity with GCP Code and Image repositories and artefact repositories
- Java and Python expertise with hands-on knowledge on the frameworks To undertake the design, dimensioning, evolution, optimization, and upgrade of the performance management solutions according to roadmap and customer (internal) requirements and operational processes. Define proactive measures to guarantee the capacity and proper operation of the managed solutions.
Work in multi-cultural environment.
- Drive innovation and efficiency on the above areas, looking for harmonization, synergies, and cost savings in the landscape across the European region, engage with different stakeholders to ensure that system strategy and functionality is in line with the market demands and Vodafone strategy.
**Experience Core competencies, knowledge, and experience**:
- Good knowledge on product development
- Good analytical skills. Comprehensive written skills
- Good Knowledge on frontend and backend technologies, CI/CD, data pipelines tools and cloud technologies.
- Multicultural exposure. Working with virtual teams. Leadership & Inter-functional relationships
- Autonomous, agile, flexible and results oriented. Capable of delivering under challenging situations. Strong focus on delivery. Influencing skills.
**Must have technical / professional qualifications**:
- Engineering degree on Telecoms, IT or equivalent
- A minimum of 3 experience in these topics:
- Java Spring / Spring Boot.
- Gradle / Maven tools.
- ORM / Hibernate / Spring Data JPA.
- JUnit and Mockito.
- SLF4J for Logging.
- REST APIs / Authentication / Authorization / JWT.
- Nginx / Tomcat / Apache.
- Linux Commands / Shell scripting skills.
- Angular JS/Node JS
- System Design: Ability to understand and design complex software systems, considering scalability, maintainability, and performance.
- Database Design (Relational DB): Skill in designing database schemas, optimizing queries, and understanding data relationships to ensure efficient data storage and retrieval.
- Bigtable / NoSQL DB:
In-depth knowledge of Google Cloud Bigtable, a NoSQL database service. Ability to design, implement, and optimize schemas for Bigtable.- Google Cloud Platform (GCP): Understanding of GCP services, especially those related to computing, storage, and data services.
- DevOps and CI/CD: Knowledge of DevOps practices and CI/CD pipelines to ensure smooth integration, testing, and deployment processes.
- Containerization and Orchestration: Familiarity with containerization technologies (e.g., Docker) and container orchestration tools (e.g., Kubernetes).
- Message Broker Services (e.g., Pub/Sub, RabbitMQ, Apache Kafka): Knowledge of message broker services for implementing asynchronous communication and event-driven architectures, such as Google Cloud Pub/Sub, RabbitMQ, or Apache Kafka.
- Version Control: Proficient with version control systems like Git.
- Problem-Solving Skills: Strong analytical and problem-solving skill.
**Nice to have**:
- Experience on Telco Network. Telco Data Centers and Telco Private cloud
- Best practice in Data Engineering
- Knowledge of Machine Learning and AI techniques
**Responsibilities Key accountabilities and decision ownership**:
- Communicate with Engineering and Operations stakeholders in early stages of a request, to drive the alignment between user requirements and functional & non-functional requirements. Ensure true business needs are clearly identified and clearly understood at the root so that the most effective and efficient solutions can be derived.
- Manage relationship with business, manage key stakeholders’ expectations.
- Look for synergies and innovation across Europe to serve the local markets.
- Enhance & evolve the continuous monitoring and continuous management framework deployed w
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