AltaGas - Sr Data System Integration Specialist

1 month ago

Calgary, Canada AltaGas Full time

Job Description

AltaGas - Sr Data System Integration Specialist

Reporting to the Manager, Midstream Data Governance and Strategy, this role will Provide expertise to develop, maintain and optimize operational data collection, reporting, and integration architectures. Collaborate with internal groups to fulfill analysis requirements and integration needs on operational dataIn addition to ensuring all applicable governance requirements on structure, reporting, documentation and training are accurate and maintained in accordance with AltaGas requirements.

You will:

Manage multiple Operations Technology (OT) applications and database platforms for performance and integration issues– lead and implement recommended optimization solutions as requiredSupport ongoing optimization efforts to streamline operational data integration solutions and architecturesSupport effective sharing and utilization of data across applications, multiple platforms and departmentsCollect, organize, and transform large quantities of data into useful and reliable information to enhance the Midstream operational process, data use/consumption and senior management reporting;Conduct data integrity test to ensure the validity of the information used in analysis and reports submitted to consumers;Develop solutions to explain performance with regards to operational events, operational activities, and other performance drivers;Create, design, provide SME expertise, with highly interactive visualizations tied Midstream UOC such as complex PBI and other multi-data sourced dashboards as required.Work with technology and strategy stakeholders to design and implement effective data collection capabilities to support client dashboard needsPerform testing and data validation for newly developed dashboards and toolsWork collaboratively on continuous process improvements initiatives;Work with various data sets to develop data models, visualizations and reports to support specific business processesHelp identify and implement evolving best practices relevant to operational data integration architectures.Supports, troubleshoots and analyzes business systems, applications and other databases, to resolve complex systems, data management, communication, and interoperating problems;Conducts scripting, testing and maintenance of developed integration systemsIdentify data quality issues and support overall data governance programsEnsure technology standards, patterns and practices are understood and implemented by all teams and partners when requiredBuild, modify and manage application and customized reporting as applicable


You have:

Bachelor's degree in computer science, Engineering, information technology, or a related field5-7 years of Oil and gas industry knowledge/experience in relation data analytics, development integration and application use. Relevant experience with large data (Aveva Pi, truck/rail applications, Maximo, etc)5-7 years of Knowledge data historian architectures and data integration - systems such as; Inmation, PI, Honeywell PHD, open-source / cloud historians OPC, Matrikon etc.5 years of Azure experience, such as Azure Data Explorer, PowerBI (Visualizations, DAX, Power Query, Data Modeling). Fluent in querying languages such as SQL, Kusto or other databases.3-5 years of experience in data visualizations, including a rich portfolio of dashboards/reports/visualizations ideally in data-rich and complex business environmentsExperience with data analytics, including data modeling, data integration, and data governance.Technical expertise in developing data integrations, logical and physical data models, data mining, and data warehousing. Proven experience with large technology implementations, application deployment or system migrations Exceptional time management skills with the ability to meet deadlines, work on multiple projects and once, and adapt to changing prioritiesDemonstrated proficiency in conducting detailed data analysis (determine the structure, content, and quality of the data through examination of source systems and data samples) Strong communication skills – written, verbal and interpersonal skills – in a team-based and consultative environment.

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