– Data Engineer

Job Summary

We are looking for a Data Engineer with strong proficiency in Core Java, SQL, and database concepts. The ideal candidate should be capable of developing application logic efficiently, writing SQL queries, and supporting data engineering processes. Basic knowledge of Linux and ETL is required, while experience with cloud platforms such as GCP, Azure, or AWS is an added advantage.

Roles and Responsibilities

- Develop and maintain data processing applications using Core Java.
- Write efficient, reusable, and maintainable code while following coding standards and documentation practices.
- Work with the Java Collections Framework and database connectivity.
- Write, execute, and optimize basic to intermediate SQL queries for data extraction, transformation, and analysis.
- Support ETL processes and data integration workflows.
- Work with databases to troubleshoot data-related issues and ensure data accuracy and consistency.
- Apply basic database administration concepts, including log analysis, data retention, RMAN, and Change Data Capture (CDC).
- Use Linux commands and utilities for data processing, troubleshooting, and operational support.
- Collaborate with cross-functional teams to develop and maintain reliable data pipelines.
- Follow development best practices and contribute to continuous improvement in data engineering processes.





Required Skills and Qualifications

- Proficiency in Core Java and application logic development.
- Good understanding of the Java Collections Framework.
- Strong SQL fundamentals and the ability to write basic to intermediate queries.
- Understanding of relational databases and database connectivity.
- Basic knowledge of ETL concepts and data processing workflows.
- Basic knowledge of Linux operating systems and commands.
- Positive written and verbal communication skills.
- Ability to solve technical problems and work collaboratively with team members.

Good-to-Have Skills

- Knowledge of database administration concepts, including logs, retention policies, RMAN, and Change Data Capture (CDC).
- Familiarity with cloud platforms such as Google Cloud Platform (GCP), Microsoft Azure, or Amazon Web Services (AWS).
- Exposure to cloud-based data engineering and data integration solutions.

Indium is an AI services company that helps enterprises build, scale, and innovate with cutting-edge technology. Backed by the prominent private equity firm EQT, Indium has spent 26 years providing excellence in digital engineering for Fortune 500 firms. With an "AI-first by design" approach, Indium specializes in Agentic AI, Data & Analytics, Application Engineering, and Quality Engineering.

📌 Data Engineer (Chennai)
🏢 Indium
📍 Chennai