[Job - 30523] Senior Data Developer (SAP), Brazil
HomeofficeJob Overview
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/4HANA 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 BigQuery 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.
Responsibilities:
HANA Data Modeling & 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
ETL/ELT Pipeline Development:
- 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
S/4HANA Data Extraction:
- 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)
Cloud Integration & Architecture:
- 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
Optimization & Problem Solving:
- 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
Requirements:
- 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
Nice to Have:
- 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
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/4HANA 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 BigQuery 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.
Responsibilities:
HANA Data Modeling & 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
ETL/ELT Pipeline Development:
- 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
S/4HANA Data Extraction:
- 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)
Cloud Integration & Architecture:
- 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
Optimization & Problem Solving:
- 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
Requirements:
- 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
Nice to Have:
- 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