Job Summary
Serve as a senior engineer in execution systems designing and optimizing AVEVA PI Historian based data solutions that support manufacturing and supply chain operations in a hybrid work model. Collaborate with cross functional teams to deliver reliable real time data enhance operational visibility and drive continuous improvement for global enterprise environments.
Responsibilities
- Develop and maintain the manufacturing data infrastructure including data acquisition and storage
- Design and implement data acquisition strategies to capture real time manufacturing data from various sources including process equipment instruments IOT and control systems such as MES BMS DCS OEM
- Develop and maintain data models templates and calculations within the AVEVA PI system to support manufacturing analytics and reporting
- Collaborate with cross functional teams to define data requirements and implement solutions to address business needs
- Ensure data integrity and consistency by implementing data quality control measures and monitoring data validation processes
- Collaborate within Automation Infra team to manage system upgrades patches and performance optimizations for the AVEVA PI system
- Provide technical support and training to end users on data acquisition tools AVEVA PI system functionalities and data visualization tools
- Stay up to date with industry trends emerging technologies and regulatory requirements related to data engineering and manufacturing systems
Contribute to continuous improvement initiatives identifying opportunities to enhance data management processes system performance and user experience
Essential Skills
- Extensive experience working with the AVEVA PI system ideally within the pharmaceutical industry
- Understanding of pharmaceutical manufacturing processes including batch processing equipment automation and data acquisition systems
- Proficiency in data engineering concepts data integration and data management best practices
- Ability to multitask manage multiple projects and prioritize tasks in a busy environment
Nice to Have Skills
- Previous experience with data visualization and reporting tools such as Tableau Power BI
- Experience with programming languages such as Python and SQL and scripting is advantageous
- Knowledge of regulatory requirements such as FDA and GMP related to data integrity and computerized systems validation
Previous experience with data Ops tools such as Ignition Highbyte
Qualifications
- Bachelor degree in engineering computer science or a related field
- Formal training on PI system nice to have
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。
