Datastage

9 - 11 years

0 Lacs

Posted:11 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

AIA-Pune

Job Summary

We are looking for an experienced Architect with 9 to 11 years of experience in Data Warehousing Concepts Scheduling Basics ETL Data Integration PL/SQL and IBM Infosphere Datastage. The ideal candidate will work in a hybrid model during the day shift and should possess strong English language skills. Experience in the Finance & Accounting domain is a plus.

Responsibilities

  • Lead the design and implementation of data warehousing solutions to meet business requirements.
  • Oversee the development and maintenance of ETL processes to ensure data accuracy and integrity.
  • Provide expertise in data integration techniques to streamline data flow across systems.
  • Utilize PL/SQL for database management and optimization to enhance performance.
  • Implement and manage IBM Infosphere Datastage for efficient data processing and transformation.
  • Collaborate with cross-functional teams to gather and analyze data requirements.
  • Ensure data security and compliance with industry standards and regulations.
  • Develop and maintain documentation for data warehousing processes and procedures.
  • Troubleshoot and resolve issues related to data warehousing and ETL processes.
  • Conduct performance tuning and optimization of data warehousing solutions.
  • Mentor and guide junior team members in data warehousing best practices.
  • Stay updated with the latest trends and technologies in data warehousing and ETL.
  • Contribute to the continuous improvement of data warehousing methodologies and practices.

Qualifications

  • Possess strong experience in Data Warehousing Concepts Scheduling Basics ETL Data Integration PL/SQL and IBM Infosphere Datastage.
  • Have excellent problem-solving and analytical skills.
  • Demonstrate proficiency in English (Read/Write Speak).
  • Experience in the Finance & Accounting domain is a plus.
  • Exhibit strong communication and collaboration skills.
  • Show ability to work effectively in a hybrid work model.
  • Display commitment to data security and compliance.

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