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.
コグニザントについて
コグニザント(NASDAQ: CTSH)は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。







