[Job - 30523] Senior Data Developer (SAP), Brazil

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

• Design, develop, and optimize complex Calculation Views using SAP HANA 2.0 (HDI Containers, Web IDE, or Business Application Studio)
• Create advanced Table Functions and Stored Procedures using SQLScript to support analytical and transactional workloads
• Implement and maintain HDI Containers, Synonyms, and .hdbgrants configurations to ensure proper data access governance

• Build, maintain, and troubleshoot robust data pipelines using SAP Data Services (BODS) to move data from S/4HANA to Google BigQuery
• Design and implement delta-load frameworks that minimize data extraction overhead while ensuring data freshness
• Manage BODS job servers and configure complex transformations to meet business and technical requirements

• Leverage S/4HANA standard CDS Views and ODP (Operational Data Provisioning) frameworks for efficient, scalable data extraction
• Navigate the S/4HANA data dictionary (e.g., ACDOCA, MATDOC) to identify optimal data sources and extraction patterns
• Ensure extraction logic aligns with business processes (e.g., Sales Orders, Material Documents, Financial Postings)

• Configure and optimize connectivity between SAP and Google Cloud Platform, utilizing Google Cloud Storage (GCS) for staging and the BigQuery Adapter for bulk loading
• Design and implement file-based integration patterns using Parquet and CSV formats to maximize load performance
• Optimize BigQuery table partitioning, clustering, and schema design to support high-performance analytics at scale

• Continuously analyze and optimize data pipeline performance to achieve real-time or near-real-time data availability
• Troubleshoot integration issues across SAP HANA, BODS, GCS, and BigQuery, ensuring minimal disruption to downstream consumers
• Recommend architectural improvements that balance data freshness, system performance, and cost efficiency

• Advanced English proficiency (both written and spoken) — required for collaboration with international teams and client stakeholders
• Proven hands-on experience with SAP HANA 2.0, including XSA architecture, HDI Containers, Synonyms, and .hdbgrants
• Expert-level proficiency in SAP Data Services (BODS), including building delta-load frameworks, managing job servers, and configuring complex transformations
• Hands-on experience migrating SAP data to Google BigQuery, with deep understanding of BigQuery partitioning, clustering, and schema optimization
• Strong familiarity with the S/4HANA data dictionary (e.g., ACDOCA, MATDOC) and Core Data Services (CDS) views
• Advanced SQLScript skills for creating Table Functions and Stored Procedures within SAP HANA
• Practical experience with file-based staging integration patterns using Google Cloud Storage (Parquet/CSV formats)
• "Generalist" mindset: ability to understand both business logic (e.g., how a Sales Order flows) and technical implementation details

• SAP certification in HANA 2.0 or S/4HANA
• Google Cloud Professional Data Engineer certification
• Experience with additional GCP services (Cloud Composer, Dataflow, Pub/Sub, Cloud Functions)
• Familiarity with SAP BW/4HANA or SAP Analytics Cloud (SAC)
• Knowledge of data governance frameworks and master data management (MDM) principles
• Previous experience in large-scale ERP data modernization or cloud migration projects