Senior Data Developer (SAP)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Developer (SAP) based in Brazil.

Join a technology-focused environment where you will help modernize enterprise data ecosystems by connecting SAP platforms with advanced cloud analytics solutions. This role focuses on designing high-performance data models, developing scalable ETL/ELT pipelines, and enabling reliable data flows between SAP S/4HANA and cloud environments. You will work at the intersection of business processes, data engineering, and cloud architecture to deliver solutions that support strategic decision-making. The position offers the opportunity to work with SAP HANA, Google Cloud Platform, and large-scale data transformation initiatives. You will collaborate with technical teams and business stakeholders to optimize performance, scalability, and data accessibility. This is an ideal opportunity for a senior data professional passionate about enterprise systems, cloud integration, and solving complex data challenges.

Accountabilities:: Design, develop, and optimize complex SAP HANA 2.0 data models, including Calculation Views, HDI Containers, and advanced SQLScript solutions.

Create and maintain Table Functions, Stored Procedures, Synonyms, and data access configurations to support analytical and transactional workloads.

Build, maintain, and troubleshoot ETL/ELT pipelines using SAP Data Services (BODS) for enterprise data movement.

Develop delta-load frameworks and transformation processes to ensure efficient and reliable data extraction.

Manage BODS job servers and optimize pipeline performance according to business and technical requirements.

Extract and integrate data from SAP S/4HANA using standard CDS Views, ODP frameworks, and SAP data structures.

Analyze SAP data dictionaries and business processes to identify effective extraction strategies.

Configure and optimize integrations between SAP environments and Google Cloud Platform, including Google Cloud Storage and BigQuery.

Design file-based integration solutions using formats such as Parquet and CSV to improve data processing efficiency.

Optimize BigQuery environments through effective partitioning, clustering, and schema design.

Monitor, troubleshoot, and improve data pipeline performance to support real-time or near-real-time analytics.

Recommend architectural improvements that balance data availability, system performance, and cost efficiency.

Requirements:

Advanced English proficiency, both written and spoken, for collaboration with international teams and stakeholders.

Strong hands-on experience with SAP HANA 2.0, including XSA architecture, HDI Containers, Synonyms, and .hdbgrants.

Expert-level experience with SAP Data Services (BODS), including delta-load development, job server management, and complex transformations.

Proven experience migrating SAP data to Google BigQuery, with knowledge of partitioning, clustering, and schema optimization.

Strong understanding of S/4HANA data structures, including ACDOCA, MATDOC, and Core Data Services (CDS) Views.

Advanced SQLScript skills for developing SAP HANA Table Functions and Stored Procedures.

Experience implementing file-based staging integrations using Google Cloud Storage with Parquet and CSV formats.

Ability to understand both technical implementation and business processes, such as enterprise transaction flows.

Experience with SAP HANA 2.0 or S/4HANA certifications is considered a plus.

Google Cloud Professional Data Engineer certification is an advantage.

Familiarity with additional Google Cloud services such as Cloud Composer, Dataflow, Pub/Sub, or Cloud Functions is preferred.

Knowledge of SAP BW/4HANA, SAP Analytics Cloud (SAC), data governance frameworks, or master data management principles is a plus.

Previous experience with large-scale ERP modernization or cloud migration projects is highly valued.

Benefits:

Fully remote work opportunity.

Health and dental insurance.

Meal and food allowance.

Childcare assistance.

Extended parental leave.

Access to fitness, health, and wellness partnerships through Wellhub (Gympass) and TotalPass.

Profit-sharing and results participation program (PLR).

Life insurance.

Continuous learning opportunities through internal development platforms.

Discounts through partner programs.

Online resources focused on physical, mental, and overall well-being.

Pregnancy and responsible parenting support courses.

Partnerships with online learning platforms.

Language learning platform access.

Additional employee benefits and support initiatives.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1