Job highlights

- Expertise in SQL, Python, PySpark, ETL, and cloud platforms (Azure/AWS/GCP)

- Design and maintain ETL pipelines, optimize SQL queries, support data science use cases, and implement CI/CD workflows

Job Summary

We are looking for a skilled Data Engineer / Data Science Engineer with solid expertise in SQL, Python, PySpark, ETL, Data Analysis, and Cloud platforms (Azure/AWS/GCP). The ideal candidate will be responsible for building scalable data pipelines, transforming large datasets, and supporting advanced analytics and data science initiatives.

Key Responsibilities

- Design, develop, and maintain ETL/data integration pipelines.

- Perform data analysis and support data science use cases.





- Develop scalable data processing solutions using Python and PySpark.

- Work with cloud-based data platforms on Azure, AWS, or GCP.

- Optimize SQL queries and ensure data quality and governance.

- Implement and maintain CI/CD processes for data engineering workflows.

- Collaborate with business and technical teams to deliver data-driven solutions.

Key Skills

- SQL

- Python

- PySpark

- Data Analysis

- Data Science

- ETL Development

- Azure Services

- CI/CD Pipelines

- AWS / Azure / Google Cloud

- Data Warehousing & Data Modeling

- Version Control (Git)

📌 Data Engineer (Hyderabad)
🏢 Capgemini
📍 Hyderabad