Principal Engineer, SAP BW Architect

Join to apply for the Principal Engineer, SAP BW role at Celanese 2 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Overview The Engineer is responsible for designing, implementing, and maintaining data warehousing and business intelligence solutions within the SAP Business Warehouse (BW) environment and other analytic tools such as Alteryx. They are expected to have a strong understanding of data modeling, extraction, transformation, and loading (ETL) processes. The Engineer will work closely with business users, IT teams, and other stakeholders to identify reporting and analytics requirements, as well as to ensure data accuracy and consistency. Responsibilities Design, develop, implement and maintain data models within SAP BW 7.x Develop, test, and optimize extraction, transformation, and loading (ETL) processes to extract data from various SAP and non‑SAP sources Implement and support BW queries, reports, and dashboards using SAP Business Explorer (BEx) tools and other front‑end reporting tools, such as SAP Analytics Cloud, Tableau and Power BI Ensure data accuracy, consistency, and integrity by implementing and maintaining robust data validation and reconciliation processes. Well versed in project management lifecycle from requirements gathering, implementation, testing, documentation to long‑term support Document system configurations, data models, ETL processes, and reporting solutions Collaboration with business stakeholders, Business Relationship Managers within IT and other IT members on complex business requirements Provides consulting in support of business during M&A's and projects on Celanese data standard Monitor and troubleshoot SAP BW system performance, implementing optimizations and tuning as needed Maintains compliance with audit controls, SOX controls, internal policies and business requirements. Collaborate with the SAP Basis team to apply patches, updates, and other system maintenance activities as required Qualifications Bachelor degree in Data Science, Computer Science, Information Systems, Business, Engineering, or related field SAP BW: Deep understanding of SAP BW data modeling, ETL processes, and reporting tools such as InfoCubes, DataStore Objects (DSO), MultiProviders, and CompositeProvider. SAP Business Explorer (BEx): Proficiency in designing and developing queries, reports, and dashboards using BEx Query Designer, BEx Analyzer, and BEx Web Application Designer SAP HANA: Experience with SAP HANA data modeling, including calculation views, attribute views, and analytical views, as well as integration with SAP BW ABAP programming: Experience with ABAP coding, debugging, and performance optimization, particularly in the context of SAP BW data extraction and transformation processes SQL: Proficiency in writing SQL queries for data extraction, manipulation, and analysis Data integration: Experience with data integration tools and techniques, such as SAP Data Services, SAP Landscape Transformation (SLT), or other ETL tools Data visualization tools: Familiarity with other front‑end reporting and data visualization tools, such as SAP Analytics Cloud, Tableau, or Power BI Performance optimization: Knowledge of performance tuning and optimization techniques in SAP BW and HANA environments, including indexing, partitioning, and aggregations Data preprocessing: Experience with data cleaning and preprocessing techniques, including handling missing values, outliers, and data transformation. SAP Basis: Basic understanding of SAP Basis concepts, such as system administration, transport management, and applying patches and updates Alteryx: Proficiency in using Alteryx Designer for data preparation, blending, and transformation, as well as creating custom workflows and analytic applications. Experience with Alteryx Server for deploying and managing analytic solutions is also beneficial. Communication: Strong verbal and written communication skills to convey technical concepts to both technical and non‑technical audiences, and to facilitate effective collaboration with team members and stakeholders Analytical thinking: The ability to analyze complex business and technical problems, identify patterns and relationships, and propose effective solutions Problem‑solving: Adeptness at identifying and addressing issues in a timely and efficient manner, with the ability to think critically and creatively to resolve challenges. Adaptability: Flexibility to adjust to changing priorities, technologies, and business requirements, and the capacity to learn and adopt new skills as needed. Time management: The ability to prioritize tasks, manage multiple projects simultaneously, and meet deadlines in a fast‑paced environment. Teamwork: A collaborative mindset and willingness to work with cross‑functional teams, sharing knowledge and supporting colleagues in achieving project objectives. Customer focus: The ability to understand and empathize with end‑users' needs, and to incorporate their feedback and requirements into the design and development of effective solutions. Attention to detail: A thorough and meticulous approach to work, ensuring high‑quality and accurate deliver Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Industry Chemical Manufacturing Referrals increase your chances of interviewing at Celanese by 2x Get notified about new Principal Engineer jobs in Mexico City, Mexico . #J-18808-Ljbffr