- Design and develop scalable data pipelines and backend services

- Build and maintain reliable ETL and data processing workflows

- Develop Python-based applications and services

- Work with engineering teams to integrate data-driven solutions

- Design and optimize database queries and data models

- Monitor and troubleshoot production data pipelines and services

- Write clean, maintainable, and well-tested code

- Collaborate with cross-functional teams to deliver enterprise software solutions

Requirements

- Strong proficiency in Python

- Strong SQL and relational database knowledge

- Experience building data pipelines or ETL workflows

- Understanding of REST APIs and backend development

- Experience with PostgreSQL or similar relational databases

- Strong problem-solving and debugging skills

- Positive understanding of software development practices





- Ability to work effectively in a collaborative engineering environment

Nice to Have

- Experience with AWS or other cloud platforms

- Experience with Docker and containerized applications

- Knowledge of Apache Airflow or similar workflow orchestration tools

- Experience with data warehousing

- Knowledge of Kubernetes

- Experience with CI/CD pipelines

- Familiarity with distributed systems

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (Hyderabad)
🏢 Callippus Solutions
📍 Hyderabad