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
Robust proficiency in Python
Solid 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 (India)
🏢 Callippus Solutions
📍 India