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DataStage Developer

00063329622

Role:Datatstage
Experience: 6 to 10 years
AIA-Pune


Job Summary

The ideal candidate will have strong technical skills in SQL Unix Shell Scripting Data Warehousing Concepts Scheduling Basics ETL Data Integration PL/SQL and IBM Infosphere Datastage. This is a hybrid work model with day shifts and no travel required. Proficiency in English is a must.


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 integrity and accuracy.
  • Provide technical expertise in SQL and Unix Shell Scripting to optimize data processing workflows.
  • Collaborate with cross-functional teams to integrate data from various sources using IBM Infosphere Datastage.
  • Develop and maintain PL/SQL scripts to support data integration and transformation tasks.
  • Ensure the scheduling and execution of data processing jobs are performed efficiently and reliably.
  • Monitor and troubleshoot data warehousing systems to ensure optimal performance and availability.
  • Implement best practices for data management and governance to maintain high data quality standards.
  • Conduct regular reviews and updates of data warehousing solutions to align with evolving business needs.
  • Provide guidance and mentorship to junior team members to foster their technical growth.
  • Engage with stakeholders to understand their data requirements and deliver solutions that meet their needs.
  • Document technical specifications and processes to ensure clear communication and knowledge sharing.
  • Stay updated with the latest industry trends and technologies to continuously improve data warehousing practices.


Qualifications

  • Possess strong technical skills in SQL Unix Shell Scripting Data Warehousing Concepts Scheduling Basics ETL Data Integration PL/SQL and IBM Infosphere Datastage.
  • Have a solid understanding of data warehousing principles and best practices.
  • Demonstrate proficiency in developing and maintaining ETL processes.
  • Exhibit strong problem-solving skills and the ability to troubleshoot complex data issues.
  • Show excellent communication skills in English both written and spoken.
  • Have experience in the Finance & Accounting domain is a plus.
  • Be able to work effectively in a hybrid work model with minimal supervision.
  • Display a proactive approach to learning and adapting to new technologies and methodologies.
  • Demonstrate the ability to work collaboratively with cross-functional teams.
  • Show a commitment to maintaining high standards of data quality and integrity.
  • Have a strong attention to detail and the ability to manage multiple tasks simultaneously.
  • Exhibit a customer-focused mindset and the ability to deliver solutions that meet business needs.

About Cognizant: 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

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