Senior Data Developer (SAP)

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.

• 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.