Senior Data Developer, SAP

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CI&T

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1995

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $5.5M Venture Round on 2014-04

Consulting • Healthcare • Marketing

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

📋 Description

• 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

🎯 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

🏖️ Benefits

• Premium Healthcare • Meal voucher • Maternity and Parental leaves • Mobile services subsidy • Sick pay-Life insurance • CI&T University • Colombian Holidays • Paid Vacations