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.

CI&T is a leading global technology consulting firm partnering with enterprise organizations to modernize their data infrastructure and unlock the full potential of their SAP investments. We are seeking a highly skilled SAP Data Developer to join our team and serve as the critical bridge between our client's S/4

HANA core systems and their Google Cloud Platform (GCP) analytics environment.

This role demands deep technical expertise across the SAP and cloud data ecosystem. You will architect high-performance data models within SAP HANA 2.0, design and implement robust ETL/ELT pipelines using SAP Data Services (BODS), and orchestrate the end-to-end migration of enterprise data into Google Big Query for scalable, real-time analytics consumption. The ideal candidate combines SAP data modeling mastery with cloud integration proficiency, and thrives at the intersection of business logic and technical optimization.

• 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/4
  
  HANA to Google Big Query
• 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/4
  
  HANA standard CDS Views and ODP (Operational Data Provisioning) frameworks for efficient, scalable data extraction
• Navigate the S/4
  
  HANA 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 Big Query Adapter for bulk loading
• Design and implement file-based integration patterns using Parquet and CSV formats to maximize load performance
• Optimize Big Query 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 Big Query, 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 Big Query, with deep understanding of Big Query partitioning, clustering, and schema optimization
• Strong familiarity with the S/4
  
  HANA data dictionary (e.g., ACDOCA, MATDOC) and Core Data Services (CDS) views
• Advanced SQLScript skills for creating Table Functions and Stored…