[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.

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,