OR

Data Stage Developer

Oracle
Pune3-7 LPA Posted 24 Oct 2025
FULL TIME
Performance Tuning
Unix Scripting
Data Warehousing
Sql
Datastage

Job Description

Skills and Qualifications:

Mandatory Skills:

  • Strong hands-on experience with DataStage development and administration.
  • Proficiency in SQL and PL/SQL for complex data manipulation and query optimization.
  • Experience deploying and managing DataStage solutions.
  • Deep understanding of ETL processes, data warehousing concepts, and data integration.

Preferred Experience:

  • Hands-on experience in banking domain projects, with knowledge of domain-specific data structures.
  • Experience in integrating on-premise data sources.

Other Skills:

  • Strong problem-solving and debugging skills.
  • Excellent communication and teamwork abilities.
  • Knowledge of Agile methodologies and DevOps practices.

Education and Experience:

  • Bachelors degree in computer science, Information Technology, or a related field.
  • 3 to 10 years of experience in DataStage development-based projects.
  • Domain experience in FCCM or any other AML based projects is an added advantage.

Key Responsibilities:

  • Design, develop, and deploy ETL processes using DataStage
  • Strong knowledge of Proficiency in developing and managing DataStage jobs, sequences, routines, and parameters.
  • Develop and optimize complex SQL and PL/SQL scripts for data extraction, transformation, and loading.
  • Implement data integration solutions, connecting diverse data sources on-premise systems, APIs, and flat files.
  • Monitor and troubleshoot DataStage jobs to ensure seamless data flow and resolve any issues promptly.
  • Collaborate with data architects and business analysts to understand integration requirements and deliver robust solutions.
  • Conduct performance tuning of ETL processes, SQL queries, and PL/SQL procedures.
  • Prepare and maintain detailed technical documentation for developed solutions.
  • Adhere to data security and compliance standards.
  • Provide guidance and best practices for DataStage projects.

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