A client of Innova Solutions is immediately hiring for a:
Data Ingestion Engineer
- About us:
Innova Solutions helps organizations accelerate business transformation by adopting new technologies and delivery models. Our services include onboarding new IT capabilities, integrating consumer devices, enabling business innovation, and supporting data center migrations, cloud transitions, and workload development. By guiding enterprises through these changes, Innova ensures they maximize the value of IT across their operations.
- Responsibilities:
- Design and configure SAP SLT replication scenarios.
- Implement real-time and batch replication architectures.
- Configure SAP ECC integrations with SAP HANA Enterprise Cloud.
- Monitor, troubleshoot, and optimize replication performance.
- Implement data reconciliation and quality controls.
- Design enterprise data ingestion pipelines.
- Document data architectures and integration processes.
- Collaborate with BI, Data Engineering, Architecture, and Business teams.
- Support modernization initiatives involving Snowflake and cloud platforms.
- Key Technologies:
- Required Skills:
- SAP SLT
- SAP HANA Enterprise
- SAP ECC
- SAP Fiori
- Data Replication
- Snowflake
- Python
- Apache Airflow
- Azure Data Factory
- Preferred Qualifications:
- Real-Time Replication
- Batch Replication
- Data Reconciliation
- Data Quality Controls
- Data Engineering
- Enterprise Integration
Qualified candidates should APPLY NOW for immediate consideration!
Tipo de puesto: Tiempo completo, Por obra o tiempo determinado
Sueldo: $62,000.00 - $75,000.00 al mes
Beneficios:
- Estacionamiento gratuito
- Programa de referidos
- Seguro de gastos médicos
- Seguro de gastos médicos mayores
- Seguro de la vista
- Seguro dental
- Seguro de vida
Puede trasladarse/mudarse:
- 66265, Valle Del Campestre, N. L.: Trasladarse al trabajo sin problemas o planear mudarse antes de comenzar a trabajar (Obligatorio)
Escolaridad:
- Licenciatura terminada (Obligatorio)
Experiencia:
- SAP Data Integration : 5 años (Obligatorio)
- Data Engineering: 5 años (Obligatorio)
Idioma:
- Inglés Intermedio o Superior (B1 en Adelante) (Obligatorio)
Lugar de trabajo: Empleo presencial
