DataStage Developer

Cognizant

Maharashtra

Hybrid

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

Cognizant in Pune, Maharashtra, India, seeks a data warehousing specialist with 6–10 years of experience. The role requires strong SQL, Unix shell scripting, ETL design, and IBM Infosphere Datastage expertise. Hybrid work model, day shifts, and no travel are specified. Proficiency in English is essential.

The candidate will lead DW design, manage ETL processes, and collaborate with cross-functional teams to deliver data integration solutions that meet business requirements.

Qualifications

  • Strong SQL and Unix shell scripting skills.
  • Solid understanding of data warehousing concepts and ETL processes.
  • Experience with PL/SQL and data integration tasks.
  • Familiarity with IBM Infosphere Datastage preferred.

Responsibilities

  • Lead design and implementation of data warehousing solutions.
  • Oversee ETL processes to ensure data integrity and accuracy.
  • Provide SQL and Unix scripting expertise to optimize workflows.
  • Collaborate across teams to integrate data from multiple sources using Datastage.
  • Develop and maintain PL/SQL scripts for data integration tasks.
  • Ensure scheduling and execution of data jobs are reliable.

Skills

SQL
Unix shell scripting
Data warehousing concepts
Scheduling basics
ETL data integration
PL/SQL
IBM Infosphere Datastage

Tools

IBM Infosphere Datastage

Job description

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.

Role Details

Role: Datatstage

Experience: 6 to 10 years

AIA-Pune

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.
  • Having 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.
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