• Assist in designing, planning and managing the data migration process. • Manage assigned risks and monitor potential impacts as part of the data migration plan. • Work with subject matter experts and project team to identify, define, collate, document and communicate the data migration requirements. • Work independently as a self-starter, and within a team environment. • Work across multiple functional projects to understand data usage and implications for data migration. • Develop best practice, processes, and standards for effectively carrying out data migration activities. • Work with customers in gathering technical requirements for data migration needs. • Share knowledge with team members and develop customer solutions efficiently. • Perform source system data analysis in order to manage source to target data mapping. • Perform migration and testing of static data and transaction data from one core system to another.

• This position is responsible for managing and organizing data to support all business processes to achieve corporate and departmental goals • This position is responsible for identifying trends and communicating these trends clearly to others in the organization to ensure data is properly used • Core activities include troubleshooting data issues, and assisting the data architect to develop, align, and maintain architectures with business requirements • Develop data pipelines from various data sources to target locations — including MES, ERP, PLM, SCADA/historian, and quality systems — to support the enterprise Digital Thread, including formatting, cleaning, and updating data as the business needs • Develop and maintain accurate data structure and mapping documentation, including metadata aligned to specific business requirements • Design and publish domain-oriented, reusable data products aligned to a data mesh model with clear ownership, SLAs, and discoverability — standardizing data structure and types across ETL/ELT processes • Understand the big picture, set the right scope, and collaborate with the data architect, application engineers, integration specialists, business analysts, and other technical experts to ensure adequate content delivery to authorized users in a timely, effective, and secure manner • Manage the full life cycle development for the current ETL/ELT deployments, applying software-engineering practices to data pipelines — version control (Git), automated testing, code review, CI/CD, and Infrastructure-as-Code (e.g., Terraform, CloudFormation) — to ensure repeatable, auditable deployments across environments • Partner with manufacturing operations, quality, and supply chain teams to deliver analytics on OEE, yield, scrap, throughput, engineering-change cycle time, time-to-release, and end-to-end product genealogy/traceability supported by the Digital Thread • Prepare AI/ML-ready datasets — including feature pipelines, dataset versioning, and curated knowledge sources for predictive quality, anomaly detection, and retrieval-augmented (RAG) use cases — in partnership with data science and AI teams

• Develop, maintain and optimize data pipelines using Python. • Design, build and maintain ETL/ELT processes. • Develop integration solutions between different data sources. • Model and structure data for Data Lake and Data Warehouse. • Work on ingestion, transformation and provisioning of data in an AWS environment. • Monitor and optimize performance of data pipelines and data processes. • Implement data engineering best practices, version control and code quality standards. • Collaborate with Analytics, BI, Data Science and Development teams. • Participate in defining the architecture of cloud data solutions. • Support incident resolution and continuous improvement of the data platforms.

Role Description The ideal candidate for this role is well-organized, analytical, and interested in developing expertise within enterprise systems and data management through SAP Global. While prior experience with SAP and data entry tasks are beneficial, they are not required – we are committed to training motivated and qualified candidates who demonstrate strong attention to detail and an eagerness to learn new systems and skill sets. - This position aligns with a structured three to five-year engagement with a confidential client with opportunities for additional work, scope, and duration beyond the initial phase. - Accurately identify, enter, update, and maintain data within the SAP system as dictated by the client. - Verify and review data for accuracy, completeness, and consistency. - Assist with data validation and maintenance. - Identify potential errors and misaligned data quickly and report those issues to the appropriate personnel. This is a remote position. Qualifications - Strong attention to detail and organization skills. Benefits - Health insurance - Signing bonus - Dental insurance - Flexible schedule Company Description