Capgemini recruitment for Freshers 2025 | Junior Data Engineer

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Capgemini recruitment for Freshers 2025 is hiring freshers for the role of Junior Data Engineer . If you are looking for this job, go through all the details listed below. For more details, you can bookmark this web, realitydefine.com

Capgemini recruitment for Freshers 2025

Company Name	Capgemini
Job Role	Junior Data Engineer
Location	Bangalore
Batch	Recent Batches
Experience	Freshers
Salary	6-9 LPA (Expected)

Job Description

Key Responsibilities:

• Data Pipeline Development: Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
• Data Integration: Utilize Cognite Data Fusion to automate and scale the contextualization of various data sources, ensuring efficient data integration and accessibility.
• Programming: Develop robust ETL processes and data workflows using Python, ensuring code quality, scalability, and maintainability.
• Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver effective solutions.
• Data Quality Assurance: Implement data validation and quality checks to ensure accuracy, consistency, and reliability of data.
• Documentation: Maintain comprehensive documentation of data processes, workflows, and system architectures.

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Proficiency in Python programming language.
• Familiarity with data integration platforms
• Understanding of data modelling, database design, and data warehousing concepts.
• Experience with SQL and working with relational databases.
• Basic knowledge of cloud platforms such as AWS or Azure is a plus.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.

Preferred Qualifications:

• Experience with data pipeline and workflow management tools.
• Knowledge of big data technologies and frameworks.
• Familiarity with data visualization tools and techniques (Grafana is a plus).

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