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Data Stage Developer @ Capgemini

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 Data Stage Developer

Job Description

Job Description (JD):

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

Key Responsibilities:

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

Nice to Have (Not Required):

  1. Python
  2. Java
  3. Snowflake
  4. Neo4J or any graph database
  5. Spark

Job Classification

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

Contact Details:

Company: Capgemini
Location(s): Pune

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Keyskills:   Ibm Datastage Ibm Infosphere Teradata Etl Datastage

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