Execution systems-Snr Eng, PUNE, Maharashtra, India

Job Summary

Serve as a senior engineer for execution systems delivering robust solutions that connect manufacturing operations with enterprise platforms through Azure DevOps GITHUB RDBMS and AVEVA PI Historian. Apply extensive experience to design implement and optimize hybrid day shift systems that enhance supply chain reliability operational visibility and data driven decision making while ensuring secure and scalable execution environments.

Responsibilities

Design and implement execution system solutions that integrate Azure DevOps GITHUB RDBMS and AVEVA PI Historian to provide resilient data flows across manufacturing and supply chain operations

Develop and optimize scalable data models within relational databases to ensure reliable storage retrieval and reporting of execution and process information for enterprise stakeholders

Configure and maintain AVEVA PI Historian environments to capture high fidelity time series data from plant systems enabling advanced analysis of production performance and asset health

Create and manage Azure DevOps pipelines that automate build test and deployment workflows for execution system components improving release reliability and reducing manual intervention

Administer and enhance GITHUB based repositories by enforcing branching strategies and pull request practices that support clean version control and traceability of execution system code artifacts

Collaborate with cross functional teams in a hybrid work model to translate manufacturing and supply chain requirements into detailed technical designs that support standardized and compliant execution processes

Perform detailed root cause analysis of incidents in execution systems by reviewing logs data traces and configuration states and implement sustainable corrective actions to prevent recurrence

Optimize query performance and database configurations in RDBMS platforms to support timely reporting dashboards and analytics that guide tactical and strategic decisions in operations

Develop and maintain monitoring and alerting solutions for execution systems using PI data and database metrics to detect anomalies early and support proactive maintenance and operational continuity

Document system architectures integration patterns and configuration standards for execution platforms so that support teams and stakeholders can clearly understand dependencies and maintenance procedures

Coordinate and perform system upgrades patches and configuration changes during day shifts in a controlled manner to minimize disruption while keeping execution environments secure and current

Support validation and testing activities by preparing test data executing test cases and confirming that execution systems meet functional performance and compliance expectations before release to production

Provide guidance and mentoring to peers on best practices in Azure DevOps GITHUB RDBMS and AVEVA PI Historian so that the broader team can consistently deliver high quality execution solutions

Qualifications

Apply advanced knowledge of Azure DevOps to define pipeline stages artifact management and environment strategies that align with execution system lifecycle needs and organizational governance

Use deep experience in GITHUB and related workflows to maintain clean repositories code reviews and collaboration models that support stable development of execution system applications and services

Leverage strong RDBMS expertise including schema design indexing and query tuning to ensure that execution data structures support reporting integration and long term maintainability

Utilize extensive hands on proficiency with AVEVA PI Historian including tag configuration interface management and data compression settings to deliver reliable industrial data infrastructure

Draw on practical exposure to manufacturing processes to design execution solutions that respect shop floor constraints production sequencing and quality considerations for real world plants

Apply understanding of supply chain concepts such as demand planning inventory flows and logistics to shape execution data models and integrations that provide end to end visibility

Operate effectively within a hybrid work model by using collaboration tools structured communication and disciplined documentation practices to maintain continuity between remote and onsite activities

关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。

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