Big Data Engineer

INFOPLUS TECHNOLOGIES is a company hiring for a role based in Kraków, focused on AI and Big Data engineering.

Core Skills:

• Strong full stack development capability
• Solid understanding of system architecture and design
• Experience building end-to-end applications

AI & Data Skills:

• Experience working with GenAI / LLM-based solutions
• Ability to integrate AI into real-world use cases

Tech skills:

• Programming languages: Scala, Java, Spark, Shell, Python
• Tools: GitLab, Sonar, docker hub, container registry, Nexus, Postman, Azure CLI
• Build scripting: Gradle, Maven, Shell
• Cloud Technology: Azure
• Hosting: Experience with container management platforms like Kubernetes and Databricks
• Data: Storage accounts, PostgreSQL, knowledge on Spark and Databricks API
• Security: Azure AD (SAML-Token based, Single sign-on), HashiCorp Vault, Managed Identities (Service Principals)
• Monitoring: Log Analytics, Azure Metrics, Azure Monitor
• Infrastructure as Code (IaC): ARM

Test Automation:

• Test frameworks: Cucumber, JUnit, Mockito
• Tools: GitLab, Sonar, docker hub, container registry, Nexus, Postman
• Build scripting: Maven, Shell
• Service/API test: thorough testing of endpoints
• End to End Test: integrated system testing with continuous integration
• Solid knowledge of QA methodologies, test planning, system dependencies, and product integration phases

1. End-to-End Project Ownership:

• Gather requirements directly from business users
• Perform business analysis and data analysis
• Design system architecture
• Develop solutions
• Support testing and validation
• Work with DevOps team for deployment
• Provide ongoing support after release

2. AI/GenAI Solution Development:

• Build applications leveraging LLMs (e.g., OpenAI APIs)
• Implement use cases such as content summarisation and intelligent filtering and categorisation
• Evaluate when AI is appropriate vs traditional coding approaches

3. Full Stack Development:

• Work across the entire stack rather than specialised roles
• Handle backend logic, data processing, and integration layers
• No separation into traditional roles (DB, UI, middleware)

4. Architecture & Design Decision-Making:

• Independently design and justify technical architecture
• Make decisions for greenfield projects
• Explain trade-offs and reasoning behind implementation choices

5. Stakeholder Interaction:

• Engage directly with business users and product owner
• Translate business needs into technical solutions
• Handle feedback and change requests directly

6. Agile & Independent Working Model:

• Work in a small pod (lean team)
• Handle projects independently with minimal supervision
• Participate in design discussions but own individual project delivery

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