– Python Data Engineer

Experience: 3–5 Years

Role Summary

We are looking for a skilled Python Data Engineer with strong expertise in Python, SQL, and data processing. The candidate will be responsible for developing and maintaining automated data workflows, optimizing data queries, and ensuring productive data operations. The role also requires strong stakeholder communication and the ability to provide technical guidance.

Key Skills & Qualifications

- Strong proficiency in Python, particularly with Pandas for data manipulation and analysis.

- Strong SQL skills, with hands-on experience in Hive or Presto.

- Experience in workflow automation and orchestration.

- Knowledge of monitoring and maintaining data workflows.

- Experience with version control tools such as Git.

- Strong stakeholder communication and collaboration skills.

- Ability to provide technical guidance and demonstrate technical leadership.

Key Responsibilities

- Develop and maintain Python-based data processing workflows.





- Write and optimize SQL queries using Hive or Presto.

- Automate and orchestrate data workflows to improve efficiency.

- Monitor data processes, identify issues, and ensure smooth execution.

- Maintain version control and follow development best practices.

- Collaborate with stakeholders to understand technical and business requirements.

- Provide technical guidance and support to team members.

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.

📌 Senior Data Engineer (Hyderabad)
🏢 Indium
📍 Hyderabad