Company:
NFI Industries
Location: Camden
Closing Date: 16/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Overview:
Are you a dynamic and visionary Senior Data Modeler with a desire to make a difference and be a key player in shaping our future of Cloud Data Analytics?
We are seeking you to join our growing team, where you will unleash your innovation, strategic thinking, and technical prowess to revolutionize how we store, manage, and analyze data in the cloud. If you thrive in a fast-paced, ever-evolving environment and have an insatiable thirst for cutting-edge technologies, then this role is for you!
At NFI, we offer innovative, integrated, and customized solutions that span the entire supply chain. Whatever our customer’s challenge is, we have the knowledge, technology, scale, and commitment to help them solve it. It’s simply what we do.
This is an opportunity to join NFI on its journey to become a data-driven organization, continue to develop its data analytics discipline and integrate best practices into the data environment. The Senior Data Modeler will play a crucial role in designing, implementing, and optimizing our data models and architecture to support data-driven decision-making across the organization. This individual will have a strong background in data modeling, a deep understanding of data warehousing principles, and hands-on experience with Microsoft Azure data services.
Responsibilities:
Design and develop robust, scalable, and efficient data models for various data processing and analytics needs.
Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into effective data models.
Optimize and tune data models to ensure high performance and scalability.
Implement and manage data warehousing solutions on Microsoft Azure, leveraging services such as Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, and more.
Conduct business analysis to understand and document business processes, workflows, and information needs.
Translate business requirements into data requirements and technical specifications.
Ensure data quality and integrity through rigorous testing and validation processes.
Develop and maintain comprehensive documentation for data models, schemas, and data flow diagrams.
Collaborate with business analysts and other stakeholders to identify opportunities for data-driven improvements and innovation.
Stay up-to-date with the latest industry trends and best practices in data modeling and Azure data services.
Mentor and provide guidance to junior data modelers and data engineers.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
Minimum of 5 years of experience in data modeling, with at least 2 years focusing on Microsoft Azure.
Proficiency in data modeling tools such as ER/Studio, ERwin, or similar.
Strong understanding of relational, dimensional, and NoSQL data modeling techniques.
Practical experience with Kimble star schema data warehousing design concepts.
Expert-level SQL skills and experience with performance tuning and optimization.
Experience with Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, and other Azure data services.
Solid understanding of ETL processes, and BI tools.
Excellent problem-solving skills and attention to detail.
Strong communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
LA County Applicants: The Company will consider qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local laws.
Are you a dynamic and visionary Senior Data Modeler with a desire to make a difference and be a key player in shaping our future of Cloud Data Analytics?
We are seeking you to join our growing team, where you will unleash your innovation, strategic thinking, and technical prowess to revolutionize how we store, manage, and analyze data in the cloud. If you thrive in a fast-paced, ever-evolving environment and have an insatiable thirst for cutting-edge technologies, then this role is for you!
At NFI, we offer innovative, integrated, and customized solutions that span the entire supply chain. Whatever our customer’s challenge is, we have the knowledge, technology, scale, and commitment to help them solve it. It’s simply what we do.
This is an opportunity to join NFI on its journey to become a data-driven organization, continue to develop its data analytics discipline and integrate best practices into the data environment. The Senior Data Modeler will play a crucial role in designing, implementing, and optimizing our data models and architecture to support data-driven decision-making across the organization. This individual will have a strong background in data modeling, a deep understanding of data warehousing principles, and hands-on experience with Microsoft Azure data services.
Responsibilities:
Design and develop robust, scalable, and efficient data models for various data processing and analytics needs.
Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into effective data models.
Optimize and tune data models to ensure high performance and scalability.
Implement and manage data warehousing solutions on Microsoft Azure, leveraging services such as Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, and more.
Conduct business analysis to understand and document business processes, workflows, and information needs.
Translate business requirements into data requirements and technical specifications.
Ensure data quality and integrity through rigorous testing and validation processes.
Develop and maintain comprehensive documentation for data models, schemas, and data flow diagrams.
Collaborate with business analysts and other stakeholders to identify opportunities for data-driven improvements and innovation.
Stay up-to-date with the latest industry trends and best practices in data modeling and Azure data services.
Mentor and provide guidance to junior data modelers and data engineers.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
Minimum of 5 years of experience in data modeling, with at least 2 years focusing on Microsoft Azure.
Proficiency in data modeling tools such as ER/Studio, ERwin, or similar.
Strong understanding of relational, dimensional, and NoSQL data modeling techniques.
Practical experience with Kimble star schema data warehousing design concepts.
Expert-level SQL skills and experience with performance tuning and optimization.
Experience with Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, and other Azure data services.
Solid understanding of ETL processes, and BI tools.
Excellent problem-solving skills and attention to detail.
Strong communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
LA County Applicants: The Company will consider qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local laws.
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