This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Developer (SAP) based in Brazil. Join a technology-focused environment where you will help modernize enterprise data ecosystems by connecting SAP platforms with advanced cloud analytics solutions. This role focuses on designing high-performance data models, developing scalable ETL/ELT pipelines, and enabling reliable data flows between SAP S/4HANA and cloud environments. You will work at the intersection of business processes, data engineering, and cloud architecture to deliver solutions that support strategic decision-making. The position offers the opportunity to work with SAP HANA, Google Cloud Platform, and large-scale data transformation initiatives. You will collaborate with technical teams and business stakeholders to optimize performance, scalability, and data accessibility. This is an ideal opportunity for a senior data professional passionate about enterprise systems, cloud integration, and solving complex data challenges. ### Accountabilities: - Design, develop, and optimize complex SAP HANA 2.0 data models, including Calculation Views, HDI Containers, and advanced SQLScript solutions. - Create and maintain Table Functions, Stored Procedures, Synonyms, and data access configurations to support analytical and transactional workloads. - Build, maintain, and troubleshoot ETL/ELT pipelines using SAP Data Services (BODS) for enterprise data movement. - Develop delta-load frameworks and transformation processes to ensure efficient and reliable data extraction. - Manage BODS job servers and optimize pipeline performance according to business and technical requirements. - Extract and integrate data from SAP S/4HANA using standard CDS Views, ODP frameworks, and SAP data structures. - Analyze SAP data dictionaries and business processes to identify effective extraction strategies. - Configure and optimize integrations between SAP environments and Google Cloud Platform, including Google Cloud Storage and BigQuery. - Design file-based integration solutions using formats such as Parquet and CSV to improve data processing efficiency. - Optimize BigQuery environments through effective partitioning, clustering, and schema design. - Monitor, troubleshoot, and improve data pipeline performance to support real-time or near-real-time analytics. - Recommend architectural improvements that balance data availability, system performance, and cost efficiency. ### Requirements: - Advanced English proficiency, both written and spoken, for collaboration with international teams and stakeholders. - Strong hands-on experience with SAP HANA 2.0, including XSA architecture, HDI Containers, Synonyms, and .hdbgrants. - Expert-level experience with SAP Data Services (BODS), including delta-load development, job server management, and complex transformations. - Proven experience migrating SAP data to Google BigQuery, with knowledge of partitioning, clustering, and schema optimization. - Strong understanding of S/4HANA data structures, including ACDOCA, MATDOC, and Core Data Services (CDS) Views. - Advanced SQLScript skills for developing SAP HANA Table Functions and Stored Procedures. - Experience implementing file-based staging integrations using Google Cloud Storage with Parquet and CSV formats. - Ability to understand both technical implementation and business processes, such as enterprise transaction flows. - Experience with SAP HANA 2.0 or S/4HANA certifications is considered a plus. - Google Cloud Professional Data Engineer certification is an advantage. - Familiarity with additional Google Cloud services such as Cloud Composer, Dataflow, Pub/Sub, or Cloud Functions is preferred. - Knowledge of SAP BW/4HANA, SAP Analytics Cloud (SAC), data governance frameworks, or master data management principles is a plus. - Previous experience with large-scale ERP modernization or cloud migration projects is highly valued. ### Benefits: - Fully remote work opportunity. - Health and dental insurance. - Meal and food allowance. - Childcare assistance. - Extended parental leave. - Access to fitness, health, and wellness partnerships through Wellhub (Gympass) and TotalPass. - Profit-sharing and results participation program (PLR). - Life insurance. - Continuous learning opportunities through internal development platforms. - Discounts through partner programs. - Online resources focused on physical, mental, and overall well-being. - Pregnancy and responsible parenting support courses. - Partnerships with online learning platforms. - Language learning platform access. - Additional employee benefits and support initiatives. 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