We are looking for a skilled Data Engineer with hands-on experience in Python, PySpark, and ETL pipeline development. The ideal candidate will be responsible for building and maintaining scalable data pipelines, processing large datasets, and implementing DevOps and CI/CD practices to ensure productive and reliable data delivery.

Roles & Responsibilities

- Design, develop, and maintain scalable data pipelines using Python and PySpark.
- Build, optimize, and manage ETL pipelines for data ingestion, transformation, and processing.
- Develop efficient data processing solutions to handle large volumes of data.
- Ensure data quality, pipeline performance, reliability, and scalability.
- Implement and maintain CI/CD pipelines to automate code integration, testing, and deployment.




- Follow DevOps best practices for deployment, monitoring, and pipeline maintenance.
- Collaborate with cross-functional teams to deliver robust data engineering solutions.

Requirements

- Strong hands-on experience in Python programming.
- Proficiency in PySpark and distributed data processing.
- Solid experience in Data Engineering and data pipeline development.
- Hands-on experience in designing and implementing ETL pipelines.
- Experience with DevOps practices and CI/CD pipelines.
- Strong problem-solving and analytical skills.
- Ability to work collaboratively in a team environment.

📌 Data Engineer (Noida)
🏢 IRIS SOFTWARE
📍 Noida