Description

We’re hiring a Java (Spring Boot) Engineer with strong Data Engineering experience to join our team on

a custom data analytics dashboard project. You’ll be responsible for developing Java Enterprise

Applications and building the data extraction, transformation, and loading (ETL/ELT) components of a

real-time data visibility dashboard.

This role sits at the intersection of data engineering and backend systems—perfect for someone who

enjoys solving real-world problems with clean, scalable code. While our primary stack is Java, experience

or willingness to work with Python for predictive analytics is a major plus.

What You’ll Be Doing

● 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

Must-Have Skills

● 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

● 3 - 4 years experience in a similar role

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