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Data Stage Developer @ Capgemini

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 Data Stage Developer

Job Description


  • Design, develop, and maintain ETL processes using DataStage (must-have) and Talend (good to have).
  • Ensure efficient extraction, transformation, and loading of data from various sources into Big Data/Data Warehouse.
  • Responsible for Linux and Shell scripting, along with SQL & PL/SQL.

Key Responsibilities:

  • Collaborate with stakeholders including data modelers and business analysts to understand requirements and translate them into technical specifications/solutions.
  • Work in Agile methodology using JIRA.
  • Design, develop, and implement ETL pipelines using DataStage and Talend.
  • Optimize ETL pipelines for performance and scalability.
  • Maintain documentation for ETL processes, workflows, and system architecture.
  • Troubleshoot and resolve code issues and errors.
  • Demonstrate strong analytical and problem-solving skills.
  • Proficient in SQL and experienced with RDBMS like Oracle and Snowflake.
  • Familiar with data modeling concepts and tools/techniques.
  • Skilled in Shell scripting and Linux.
  • Possess excellent interpersonal skills and able to work both independently and in a team setup.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Software Development - Other
Employement Type: Full time

Contact Details:

Company: Capgemini
Location(s): Pune

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Keyskills:   Shell Scripting Datastage Data Warehousing ETL Talend

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