Senior Data Engineer – SAP HANA Cloud, Graph

DXS - Direct Expansion Solutions · via Backpacker Job Board

🌎 Remote ⏰ Full Time ⌛ Posted 13 days ago

Design, build, and optimize data models on SAP HANA Cloud, including tables, calculation views, CDS artifacts, stored procedures, and SQLScript
Design and implement graph data models and traversal queries for connected-data problems including material substitution and compatibility, product and organizational hierarchies, and supply and fulfillment networks
Write and tune high-performance SQL and SQLScript by analyzing execution plans and resolving bottlenecks
Assist with performance engineering across the data layer, including partitioning, indexing, memory management, workload classes, and result caching
Build data ingestion and replication into HANA Cloud from SAP and non-SAP sources using SDI, SDA, SLT, change data capture, or comparable approaches
Expose data to the TypeScript product stack through clean, secure, and documented service layers
Establish and enforce standards for schema design, migrations, versioning, and database-artifact code review
Implement security and access control, including roles and privileges, data masking and anonymization, and multi-tenant data isolation
Collaborate with machine learning and search engineers to support feature pipelines and search indexing
Own monitoring, alerting, backup and recovery, capacity planning, and HANA Cloud upgrade readiness
Document data models and graph schemas for engineering teams

Deep SAP HANA or HANA Cloud engineering expertise, including modeling, SQLScript, calculation views, and production performance tuning
Experience with graph data modeling and traversal query languages such as SAP HANA Graph, Cypher/Neo4j, Gremlin, or SPARQL
Expert SQL, including execution plan analysis and optimization of complex analytical and transactional queries
Experience with data replication and integration into HANA from source systems
Strong grasp of relational and dimensional modeling, normalization trade-offs, and safe schema evolution
Proficiency in at least one application language: TypeScript/JavaScript or Python
Database security and multi-tenant data isolation experience
Clear communication and documentation of data models
Bachelor's degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience
Resume must be submitted in English