Data Engineer @ Capgemini

Job Description

Job Description:

Position: Data Engineer
Location: Pan India
Company: Capgemini
Experience Required: 4 to 9 years

Key Responsibilities:

• Data Pipeline Development: Design, develop, and maintain scalable data pipelines and systems.
• ETL Processes: Implement ETL processes to extract, transform, and load data from various sources.
• Collaboration: Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Optimization: Optimize data workflows for performance and reliability.
• Data Quality: Ensure data quality and integrity across all datasets.

Required Skills:

• Proficiency in Python programming language.
• Experience with PySpark for big data processing.
• Strong knowledge of ETL processes and tools.
• Expertise in designing and managing data flows.
• Hands-on experience with Azure cloud services.

Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills for effective collaboration with team members.

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Keyskills:   Pyspark Azure AWS Python ETL