Role Description We are seeking an experienced SAP Data Migration Engineer to design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This role focuses on the full data migration lifecycle: - Extraction - Transformation - Validation - Reconciliation - Cutover The ideal candidate will combine strong hands-on experience with SAP LTMC, SLT, LVM, and S/4HANA migration tools with a deep understanding of SAP data structures, business processes, and data governance. They will partner closely with functional teams, business owners, and infrastructure stakeholders during all phases of migration. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of SAP data migration experience. - Strong hands-on experience with SAP LTMC and S/4HANA migration tools. - Experience with SAP SLT replication scenarios. - Working knowledge of SAP LVM for system refresh and landscape management. - Strong understanding of SAP master and transactional data structures. - Experience performing data validation and reconciliation processes. - Strong SQL and data analysis skills. - Experience working in enterprise SAP landscapes during major implementations. - Strong troubleshooting and documentation skills. Requirements - Design and execute SAP data migration strategies for S/4HANA implementations, including conversion and greenfield scenarios. - Perform data extraction from legacy systems using SAP-provided and custom tools and prepare data for ingestion into SAP. - Configure and utilize SAP LTMC (Legacy Transfer Migration Cockpit), including custom migration objects where required. - Implement real-time replication scenarios using SAP SLT (System Landscape Transformation), including transformation rules and filter conditions. - Manage logical system setups and replication configurations for hybrid SAP environments. - Support system refreshes and landscape virtualization activities using SAP LVM (Landscape Virtualization Management). - Design and execute data transformation, cleansing, and enrichment processes prior to migration. - Develop comprehensive validation and reconciliation reports to ensure data accuracy and completeness. - Identify and resolve data inconsistencies, duplicates, and orphan records prior to go-live. - Support mock migrations, dress rehearsals, and the final cutover, including detailed runbook execution and rollback planning. - Optimize performance for large-volume data loads, including parallelization, package sizing, and database tuning. - Collaborate with functional teams to validate master and transactional data against business expectations. - Ensure compliance with enterprise data governance, audit, and privacy standards. - Maintain comprehensive, current technical documentation, including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures. Benefits - Competitive base salary commensurate with experience, plus benefits.

Role Description The Senior Data Engineer is responsible for designing, building, and maintaining robust data pipelines using Python, SQL Server (T-SQL, Stored Procedures), and integrating various APIs within a modern Azure infrastructure. The role supports critical data operations in regulated environments. - Design and implement scalable ETL pipelines with Python and SQL Server for data ingestion, transformation, and integration from diverse sources, including RESTful APIs. - Develop and optimize T-SQL stored procedures to fulfill business logic and reporting needs. - Architect secure, efficient data workflows leveraging Azure Data Factory, Azure SQL, and Azure Functions. - Ensure data quality, lineage, and compliance with regulations such as HIPAA and SOC2. - Collaborate with software engineering teams to align data structures and APIs with application requirements, including those based on .NET and C++ environments. - Work cross-functionally with data analysts, security engineers, and DevOps to support comprehensive data needs. - Monitor and troubleshoot pipeline failures and data discrepancies. - Lead data governance initiatives, best practices, and performance tuning efforts. - Mentor junior engineers and participate in peer code reviews. Qualifications - At least 4-6 years of experience in Data Engineering or a similar role. - Strong proficiency in SQL Server, including stored procedures and performance tuning. - Advanced skills in Python for ETL development and automation. - Hands-on experience with Azure data services such as Data Factory, Blob Storage, and Azure SQL. - Experience integrating data from RESTful APIs and third-party sources. - Knowledge of data privacy and compliance standards, especially HIPAA and SOC2, relevant to financial and healthcare sectors. - Strong problem-solving abilities and capacity to work independently in a fast-paced, regulated environment. - Excellent written and verbal communication skills. - Experience with additional Azure services like Azure Synapse, Azure DevOps, and Azure Functions. - Understanding of data modeling and warehousing concepts. - Exposure to cybersecurity data, SIEM tools, or SOC operations is advantageous. - Background in MSP/MSSP environments or consulting. - Familiarity with Power BI or other data visualization tools. - Knowledge of .NET Framework and C#-based APIs, particularly in data consumption contexts. Company Description

• Design and execute SAP data migration strategies for S/4HANA implementations, including conversion and greenfield scenarios. • Perform data extraction from legacy systems using SAP-provided and custom tools and prepare data for ingestion into SAP. • Configure and utilize SAP LTMC (Legacy Transfer Migration Cockpit), including custom migration objects where required. • Implement real-time replication scenarios using SAP SLT (System Landscape Transformation), including transformation rules and filter conditions. • Manage logical system setups and replication configurations for hybrid SAP environments. • Support system refreshes and landscape virtualization activities using SAP LVM (Landscape Virtualization Management). • Design and execute data transformation, cleansing, and enrichment processes prior to migration. • Develop comprehensive validation and reconciliation reports to ensure data accuracy and completeness. • Identify and resolve data inconsistencies, duplicates, and orphan records prior to go-live. • Support mock migrations, dress rehearsals, and the final cutover, including detailed runbook execution and rollback planning. • Optimize performance for large-volume data loads, including parallelization, package sizing, and database tuning. • Collaborate with functional teams to validate master and transactional data against business expectations. • Ensure compliance with enterprise data governance, audit, and privacy standards. • Maintain comprehensive, current technical documentation.

Title: Product Data Planner (PDP) Location: US, California, Santa Clara Job Description: Job Details: Job Description: Join us and help create the next generation of product data designs that will shape the future for decades to come. Supply Chain Product Enabling and Operations (SPEO) creates an environment where employees can prosper while enabling the innovative technologies that make amazing possible. The Si PDPs scope is vast and includes nearly every Si product within Intel's umbrella, from the earliest phases of product design and technology development all the way through to the delivery of product to customers. SPEO approaches Diversity and Inclusion with the same rigor, accountability, and visibility as our critical business strategies, embedding diversity and inclusion practices in everything we do. We are a global workforce that generates diversity of thought and innovation, resulting in better overall business results. SPEO values and embraces individual uniqueness and empowers employees to bring their whole selves to deliver their very best. We thoughtfully embed inclusivity and diversity as core strengths in our hiring, career development and training practices. SPEO's success depends on our people and we highly value our amazing employees. Responsibilities may include: - Working with Planners and Product teams to develop/set-up the Silicon BOMs that support planning and execution of all of Intel's silicon from the Fab to the finished good. - Working with integrators and business analysts to help define and model the supply chain using Intel's SPEED and OCPLM systems. - Conducts scenario what- if planning for engineering products processes and inventory strategies when necessary. - Partner with numerous, diverse functions and groups across Intel (eg: Product Engineering, Marketing, Planning, Manufacturing, Foundry) to evolve and assess product data solutions meet current business needs and scale for future requirements. - Influence and recommend issue resolution strategies in supply chain areas using data-driven decision making across key stakeholders and management levels. - Drive continuous process and project improvements. A successful candidate will demonstrate: - Confident communicator, skilled at influencing across a wide range of levels and functions. - Learn quickly and connect the dots across a wide and diverse scope. - Blend of leadership, cross-org orchestration, and systems thinking. - Comfortable with ambiguity, embraces change, and can handle dynamic/heavy workload. - Solid understanding of supply chain business acumen. - Strong attention to detail, planning, prioritization, and goal-setting skills. - Effective influencing and negotiation skills. Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. This position is not eligible for Intel immigration sponsorship. Minimum Qualifications: - Bachelor's degree in Supply Chain, Business Administration, or a related field – OR – 6+ years of relevant professional experience may be considered in lieu of a degree - Minimum of 5 years of related experience in Supply Chain, Business Administration, Information Management, or a related field Preferred qualifications: - Master's Degree in Supply Chain, Business Administration, or a related field with experience in Supply Chain, Business Administration, Information Management, or related field. - Experience working in a semiconductor industry - Strong understanding and application of Product Life Cycle principles. - Knowledge of Intel's and/or Industry product or supply chain master data management practices and applications. - Experience with SPEED, Oracle Cloud, SAP, or planning tools is a plus. This position is for a 14 month temporary contract. Job Type: Intel Contract Employee Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations: US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara Business group: The Corporate Planning Group (CPG) is the strategic heartbeat of Intel, acting as catalyst for innovation and transformation, guiding the company towards achieving its vision and maintaining a competitive edge in the marketplace. CPG exists to build a comprehensive operating plan that leverages internal and external manufacturing for Intel's growth. We emphasize data-driven innovation and results, ensuring we meet customer demands and financial targets. Join CPG to be part of a forward-looking group that is not just planning for tomorrow, but redefining it. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $52,000.00-$200,000.00 The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change. ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.