Senior Data Engineer - SAP HANA Cloud & Graph

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JobgetherEnterprise data

Based in IndiaContractSenior

Salary not disclosed

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Job Details

Deep expertise in SAP HANA or HANA Cloud engineering, including data modeling, SQLScript, calculation views, and production performance tuning.
Strong experience with graph data modeling and traversal technologies such as SAP HANA Graph, Cypher/Neo4j, Gremlin, or SPARQL.
Expert-level SQL skills, including execution plan analysis and optimization of complex analytical and transactional queries.
Experience designing and operating data replication and integration pipelines into HANA from enterprise source systems.
Strong knowledge of relational and dimensional modeling, normalization trade-offs, and safe schema evolution.
Proficiency in at least one application language, such as TypeScript, JavaScript, or Python.
Experience implementing database security and multi-tenant data isolation.
Bachelor's degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience.
Experience with SAP Business Technology Platform, the Cloud Application Programming model, and HDI containers is preferred.
Experience with graph algorithms at scale, knowledge graph or RDF modeling, or CI/CD for database artifacts is preferred.

Design, build, and optimize SAP HANA Cloud data models, including tables, calculation views, CDS artifacts, stored procedures, and SQLScript.
Design graph data models and traversal queries for connected-data use cases.
Analyze execution plans and optimize SQL and SQLScript performance.
Lead data-layer performance engineering across partitioning, indexing, memory management, workload classes, and result caching.
Build data ingestion and replication pipelines into HANA Cloud from SAP and non-SAP sources.
Expose data to TypeScript-based product applications through secure, documented service layers.
Establish standards for schema design, migrations, versioning, and database artifact code reviews.
Implement database security and access controls, including roles, privileges, data masking, anonymization, and multi-tenant isolation.
Own monitoring, alerting, backup and recovery, capacity planning, and HANA Cloud upgrade readiness.
Document relational, dimensional, and graph data models for engineering teams.

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