Data Engineer

Job Overview

We are looking for skilled Data Engineers with strong experience in Python, SQL, and AWS Services to design, build, and maintain scalable data solutions. The ideal candidate should have hands-on experience in developing data pipelines, working with cloud platforms, and optimizing data processing workflows.

Key Responsibilities

- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Build and optimize data solutions using AWS cloud services.
- Develop data processing applications using Python.
- Write complex SQL queries and optimize database performance.
- Ensure data quality, integrity, and reliability across data platforms.
- Work closely with cross-functional teams to understand business requirements and deliver data solutions.
- Monitor, troubleshoot, and improve data workflows and cloud infrastructure.




- Implement best practices for data governance, security, and performance.

Required Skills

- 4-10 years of experience in Data Engineering.
- Strong hands-on experience in Python and SQL.
- Experience with AWS services
- Experience building and maintaining data pipelines and data warehouses.
- Solid understanding of data modeling and database concepts.
- Knowledge of cloud-based data architectures and best practices.

Preferred Skills

- Experience with Airflow or similar workflow orchestration tools.
- Exposure to Spark/PySpark.
- Experience with CI/CD pipelines and DevOps practices.
- AWS Certification is an added advantage

📌 Data Engineer (Hyderabad)
🏢 Qentelli
📍 Hyderabad