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Cognizant - DataStage Developer - ETL/Data Integration

Posted on: 06/10/2025

Job Description

Description :


We are looking for an experienced professional with 6 to 9 years of experience in DataStage & Data Warehousing Concepts Scheduling Basics ETL Data Integration PL/SQL. 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 :


- Candidate should have good experience in DataStage development and exposure from requirements gathering to deployment and warranty support.


- Should be able to debug issues and trouble shoot.


- Candidate should have understanding of code management repositories like GIT/SVN


- Strong Experience in SQL- writing optimal queries, indexes, partitions and SQL performance tuning.


- Good analytical and problem solving capability to find a solution in critical situation.


- Should be able to work with and drive teams in different locations and should be able to communicate with stakeholders and manage expectations and deliveries.


- Candidate should also be ready to perform as an individual contributor if needed.


- Candidate should have experience of Agile methodology using scrum and should have understanding of various agile meetings.


- Results oriented, determined, team-lead and having a self-driven and can-do attitude


- 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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