Procurement Data Engineer III
hace 5 días
Johnson Controls is a global leader in the technology and industrial sectors, serving customers in over 150 countries. Our 130,000 employees work together to create intelligent buildings, efficient energy solutions, and next-generation transportation systems that drive innovation and sustainability.
We are committed to helping our customers succeed and creating value for all our stakeholders through strategic focus on our buildings and energy growth platforms. For more information, please visit our website or follow us on Twitter.
Job Summary:We are seeking a highly skilled Procurement Data Engineer III to join our diverse team of data and procurement professionals in the Procurement Execution Center (PEC). As a key member of our team, you will be responsible for deploying and supporting the end-to-end management of our data, including ETL/ELT, DW/DL, data staging, data governance, and managing the different layers of data required for successful BI & Reporting in the PEC.
Key Responsibilities:- Serve as the main technical resource for any data-related requirement.
- Demonstrate an ability to communicate technical knowledge through project management and contributions to product strategy.
- Deploy data ingestion processes through Azure Data Factory to load data models as required into Azure Synapse.
- Build and design complex ETL/ELT processes with Azure Data Factory (ADF) and/or Python, which once deployed, will require to be executed daily and weekly.
- Assemble large, complex data sets that meet functional/non-functional business requirements.
- Build the infrastructure required for optimal ETL/ELT of data from a wide variety of data sources using Azure SQL and ADF.
- Develop data models that enable DataViz, Reporting, and Advanced Data Analytics, striving for optimal performance across all data models.
- Maintain conceptual, logical, and physical data models along with corresponding metadata.
- Manage the DevOps pipeline deployment model, including automated testing procedures.
- Deploy data stewardship and data governance across our data warehouse, to cleanse and enhance our data, using knowledge bases and business rules.
- Ensure compliance to system architecture, methods, standards, practices, and participate in their creation.
- Clearly articulate and effectively influence both business and technical teams.
- Perform the necessary data ingestion, cleansing, transformation, and coding of business rules to support annual Procurement bidding activities.
- Support the deployment of a global data standard for Logistics.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Support Rate Repository management as required (including Rate Card uploads to our DW).
- Other Procurement duties as assigned.
- Bachelor's degree in a related field (Engineering, Computer Science, Data Science, or similar).
- 4+ years of relevant experience in BI Engineering, data modeling, data engineering, software engineering, or other relevant roles.
- Advanced working SQL knowledge and experience working with relational databases.
- Knowledge in DW/DL concepts, data marts, data modeling, ETL/ELT, data quality/stewardship, distributed systems, and metadata management.
- Experience building and optimizing data pipelines, architectures, and data sets.
- Azure Data Engineering certification preferred (DP-203).
- ETL/ELT development experience (3+ years). SSIS or ADF are preferred.
- Ability to resolve ETL/ELT problems by proposing and implementing tactical/strategic solutions.
- Strong project management and organizational skills.
- Experience with object-oriented function scripting languages: Python, Scala, C#, etc.
- Experience with NoSQL databases is a plus to support the transition from On-Prem to Cloud.
- Excellent problem-solving, critical thinking, and communication skills.
- Relevant experience with Azure DevOps (CI/CD, git/repo management).
- Due to the global nature of the role, proficiency in English language is a must.
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