Data Engineer
Capgemini · Hyderabad · hybrid · Posted today
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About this role
Job Summary
We are looking for a skilled Data Engineer / Data Science Engineer with strong 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)
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Skills
About Capgemini

Capgemini
IT Services & Consulting
235k+
employees
1967
59 years old
Mumbai, Maharashtra
India
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