
$0-$0 / yr
Salary
colombia
Region
ASAP
Start Date
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.
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
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
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Our benefits include: - Premium Healthcare- Meal voucher- Maternity and Parental leaves- Mobile services subsidy- Sick pay-Life insurance- CI&T University - Colombian Holidays- Paid VacationsAnd many others. Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.