Data Engineer (SAP Data Services / SAP BODS)

🏢 Allied Global
🌎 100% Remote | Full-Time | Contractor Agreement
💵 Paid in USD
📍 Latin America Preferred
🗣️ Due to the highly collaborative nature of this role, professional fluency in both English and Spanish is required

Allied Global is seeking a talented Data Engineer with strong expertise in SAP Data Services (SAP BODS) to join a growing global team. In this role, you will be responsible for designing, developing, and optimizing enterprise-grade data integration solutions that support critical business operations and decision-making.

This is an excellent opportunity for a data professional who enjoys solving complex data challenges, building scalable ETL pipelines, and working closely with both business and technical stakeholders in a collaborative, international environment.

• →Design, develop, and maintain scalable ETL workflows using SAP Data Services (SAP BODS)
• →Build and optimize data pipelines for data transformation, cleansing, enrichment, and migration across multiple systems
• →Improve ETL performance, scalability, reliability, and error-handling capabilities
• →Develop advanced SQL queries and perform query tuning and optimization
• →Support production environments by troubleshooting issues, performing root cause analysis, and resolving incidents
• →Monitor data quality, integrity, and pipeline performance to ensure SLA compliance
• →Collaborate with business users, analysts, and technical teams to translate requirements into effective data solutions
• →Implement automation and process improvements to increase operational efficiency
• →Participate in Agile ceremonies and contribute to sprint planning, development, and delivery activities
• →Maintain and enhance enterprise data integration processes and best practices

• 4–6 years of experience as a Data Engineer, ETL Developer, or similar role
• Strong hands-on experience designing and developing ETL processes and data transformation solutions
• Expertise with SAP Data Services (SAP BODS)
• Advanced SQL development and optimization skills
• Strong experience working with Teradata
• Solid understanding of:
  • Data Warehousing concepts
  • ETL / ELT methodologies
  • Data modeling principles
  • Data mapping and data lineage
  • Enterprise integration frameworks
• Experience monitoring and improving data quality and pipeline performance
• Understanding of batch processing environments and production support operations

• Experience working with AWS Cloud Services
• Python scripting and automation experience
• Knowledge of data governance frameworks and best practices
• Exposure to modern data platform architectures

• Has strong analytical and problem-solving skills
• Thrives in fast-paced, enterprise environments
• Can effectively manage production issues and operational escalations
• Communicates clearly with both technical and non-technical stakeholders
• Enjoys collaborating within Agile teams
• Is proactive, detail-oriented, and committed to delivering high-quality solutions