SAP Data Engineer
Tasks
- Administer and optimize SAP connected databases
- Build and maintain data pipelines
- Build data quality and alerting framework
- Design and implement ETL/ELT architectures
- Design real time and near real time pipelines
- Develop SAP integrations
- Document data flows integration patterns and pipeline architectures
- Monitor and optimize data storage processing and pipeline costs
- Optimize reporting data preprocessing and schema design
- Translate SAP data into actionable insights
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EC2 | AWS Glue | AWS Lambda | Airflow | Amazon Redshift | Analytics Cloud | BW extractors | BW/4HANA | CDS Views | Data Intelligence | Data Provisioning | Data Services | Dimensional Modeling | ELT | ETL | Integration Suite | Landscape Transformation | NoSQL | Operational Data Provisioning | PySpark | Python | S/4HANA | SAP ABAP | SAP Analytics | SAP Analytics Cloud | SAP BAPI | SAP BTP | SAP BW | SAP BW Extractors | SAP BW/4HANA | SAP CDS | SAP CDS Views | SAP Data Intelligence | SAP Data Services | SAP Datasphere | SAP ECC | SAP IDoc | SAP Integration | SAP Integration Suite | SAP Landscape | SAP Landscape Transformation | SAP Operational Data Provisioning | SAP RFC | SAP S | SAP S/4HANA | SAP SLT | SAP data | SQL | Spark
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Information Systems
Roles
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