Java (Spring Boot) Engineer (Data Engineering Experience) at Kinz Global Consult Limited

Kinz Global Consult is an HR Consulting agency that works in staffing and recruitment. We match the employers and employees after reviewing and scrutinizing their needs, nature of work, and cost-effectiveness. We provide professional and competent staff for companies, corporate or non-corporate. We also provide temporary or contractual services on certain conditions and provide permanent staff on demand.

We are recruiting to fill the position below:

Job Title: Java (Spring Boot) Engineer (with Data Engineering Experience)

Location: Remote
Employment Type: Full-time

Responsibilities

• Build Java-based ETL and ELT pipelines to extract, transform, and load source systems.
• Extracting data from source systems
• Cleaning and transforming the data for analytics ○ Loading it efficiently into a ClickHouse data warehouse
• Structure data pipelines using ELT principles
• Develop efficient, well-tested, and reusable Java (Spring Boot) backend services along with other development team members to query, organize, and expose processed data through Spring Boot APIs
• Collaborate with frontend and analytics teams to ensure the data layer supports dashboard visualizations and alerts
• Integration of user-facing elements developed by front-end and mobile app engineers Collaborate with other team members in brainstorming sessions to define, design, test, and ship application features
• Identify, correct bottlenecks and fix bugs on new and existing applications

Requirements

• 3 - 4 years experience in a similar role Strong experience with Java, especially in Spring Boot for service development
• Strong experience building ETL / ELT pipelines and working with data integration
• Solid understanding of SQL, data modeling, and analytical querying
• Familiarity with APIs, JSON, and integrating external systems
• Comfortable with version control (Git) and collaborative development practices

Skills:

• Nice-to-Have / Bonus Skills
• Exposure to predictive modeling with Python is a big advantage
• Familiarity with ClickHouse or other columnar databases
• AWS/cloud deployment experience.

Application Closing Date
19th June, 2025.

How to Apply
Interested and qualified candidates should send their CV to: cv@kinzglobalconsult.com using the Job Title as the subject of the mail.