SAP Data Migration Engineer

Emploi pas sur LinkedIn

🕒 il y a 4 mois

🇺🇸 États-Unis – Télétravail

💵 $97 968 - $127 755 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

🚰 Ingénieur Data

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General Dynamics Information Technology

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1954

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

General Dynamics Information Technology (GDIT) est un acteur de premier plan de l’innovation technologique, offrant un large éventail de services, notamment le conseil, la modernisation numérique et les services applicatifs. L’entreprise déploie des solutions en intelligence artificielle (AI), cloud computing (Cloud), cybersécurité, calcul haute performance (HPC) et technologies quantiques. GDIT s’engage à soutenir les secteurs public et de la défense, en fournissant des services essentiels à la mission tels que la logistique et la gestion de la chaîne d’approvisionnement, le renseignement et la sécurité intérieure. L’entreprise met également l’accent sur des pratiques de recrutement diversifiées et inclusives et promeut activement le bien-être des collaborateurs. Grâce à ses accélérateurs numériques et à l’adoption pionnière de technologies émergentes, GDIT vise à faire progresser les missions des agences et à relever des défis technologiques complexes.

Description

• Execute data extractions from SAP ECC using SAP Data Services (BODS). • Query and analyze source and staging data using SAP HANA SQL. • Build, maintain, and optimize dataflows, workflows, and extraction jobs. • Perform source data analysis and data profiling to identify data quality issues. • Perform source to target field-level data mappings. • Apply transformation rules, derivations, and validations within SAP Data Services. • Translate functional mapping specifications into executable ETL logic. • Load master and transactional data into SAP S/4HANA using Migration Cockpit and LSMW. • Execute mock loads and support cutover load activities. • Analyze load errors, correct data issues, and reprocess loads as required. • Validate data across source systems, staging, and S/4HANA targets. • Reconcile record counts, balances, and key attributes based on defined validation criteria. • Support defect resolution and retesting during mock cycles. • Identify data quality issues such as duplicates, missing values, and invalid formats. • Support cleansing activities in coordination with business data owners. • Implement data correction logic within SAP Data Services where applicable. • Support mock load cycles, dress rehearsals, and production cutover execution. • Execute data loads according to defined load waves, object sequencing, and cutover schedules. • Perform root-cause analysis of load and validation errors across BODS, Migration Cockpit, and HANA layers. • Maintain and update mapping specifications and transformation logic documentation. • Track, analyze, and remediate data defects using defined defect management processes. • Validate data readiness prior to load execution (completeness, format, dependencies). • Work with functional teams to resolve data issues tied to configuration or business rules.

🎯 Exigences

• 8+ years of related experience • Bachelor’s degree in computer science, information technology, or a related discipline • Strong experience with SAP Data Services (BODS) • Working experience with SAP HANA backend • Practical experience using S/4HANA Migration Cockpit, LSMW & BDC • Demonstrated experience with data extraction, mapping, transformation, and validation • Working knowledge of SAP master data objects (Customer, Vendor, Material, GL) • Experience handling large datasets and flat-file-based loads • Deep knowledge of SAP Table structures. • US Citizenship Required: Yes

🏖️ Avantages

• 401K with company match • Comprehensive health and wellness packages • Internal mobility team dedicated to helping you build your skills and own your career • Professional growth opportunities include paid education and certifications • Cutting-edge technology you can learn from • Rest and recharge with paid vacation and 10 company-paid holidays • GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period