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 explicit 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 hybri
📌 Datastage Developer (Pune)
🏢 Cognizant
📍 Pune
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