HVR / Five Tran Senior Developer

HVR Data Replication Specialist A Data Replicator / ETL Developer with Data Replication experience of replication Data from SAP to Snowflake. Overall experience 7 Years+. Below is the Job Description:

• Hands-on Experience with HVR to retrieve Data from SAP HANA System that includes but not limited to:
• Thorough understanding of the Calculation (Column) Views and CDS Views
• Working knowledge of how HVR uses SQL to query the views.
• Working knowledge and understanding of how HVR Refresh functionality can create required compatible target structures and perform Data load.
• Hands-on Experience with HVR to retrieve Data from SAP ECC systems that includes but not limited to:
• Thorough understanding of Change Data Capture (CDC) feature and how HVR integrates with SAP Dictionary to obtain up to date definitions for SAP tables, including any custom Z tables / columns
• Thorough understanding of the SAP Transparent tables, Pool tables and Cluster tables
• Working knowledge of Cluster tables and Pool Table Data as well as Long text.
• Understanding of decompression and decoding at the downstream (away from the SAP Database) with no reliance on ABAPs and BAPIs
• Working knowledge on how an initial load – or refresh – is performed and how HVR’s distributed architecture allows the load to spread and create an environment that is manageable with many sources and/or multiple targets, and which is scalable despite high volumes.
• Thorough understanding of how Incremental log-based Change Data Capture allows for continuous integration, keeping the data in sync in real-time.
• Understanding on how HVR also keeps track of transaction boundaries to replicate data in near-real-time, maintaining transactional consistency
• Thorough understanding of how HVR’s distributed architecture and authentication of systems, including certificate-based authentication as a two-step verification mechanism and a standardized approach to encrypting data on the wire.
• Understand how HVR supports Snowflake Integration that includes but not limited to:
• Working knowledge of recreating a CDS view in Snowflake
• Discovery of table definitions on the source
• Automatic mapping of data types to compatible, loss-less data types
• One-time load through efficient copy commands
• Log-based CDC from several database technologies
• Continuous data replication into cloud-based data warehouses
• Data validation to ensure data in Snowflake matches the data in the source
• Automatic alerting to enable the system to operate without constant monitoring
• A Graphical User Interface (GUI) to configure data replication
• Browser-based insights into data movement over time
• Enterprise-grade security features to avoid data breaches