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Data Engineer @ Capgemini

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 Data Engineer

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.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Other
Role Category: Other
Role: Other
Employement Type: Full time

Contact Details:

Company: Capgemini
Location(s): Hyderabad

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Keyskills:   Pyspark Azure AWS Python ETL

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Capgemini

Capgemini Engg (erstwhile Altran) ranks as the undisputed global leader in Engineering and R&D services (ER&D). The company offers clients an unmatched value proposition to address their transformation and innovation needs. Works alongside its clients, from initial concept through indust...