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HVR Engineer

Roles & Responsibilities

  • Proven experience installing, configuring, and upgrading HVR (Fivetran HVR) in source/target environments.
  • Strong knowledge of databases (Oracle, SQL Server, SAP HANA, PostgreSQL, MySQL) and cloud platforms (Snowflake, Databricks, BigQuery, Redshift).
  • Experience with performance tuning of data replication pipelines (batch size, parallelization, network settings) and capacity planning.
  • Experience implementing high-volume Change Data Capture (CDC) and maintaining operational health of HVR agents and connectivity.

Requirements:

  • Platform Management: Install, configure, and upgrade HVR (now Fivetran HVR) software, including the Hub, agents (HVAs), and associated components, across source and target systems.
  • Connection Replication Setup: Establish and manage data source connections for diverse databases (e.g., Oracle, SQL Server, SAP HANA, PostgreSQL, MySQL) and cloud platforms (e.g., Snowflake, Databricks, BigQuery, Redshift). Configure robust replication channels, defining source/target locations, selecting tables, and setting up data transformations.
  • Performance Optimization: Fine-tune HVR configurations to maximize data replication performance, including adjusting batch sizes, parallelization, and network settings. Proactively identify and address system capacity bottlenecks (e.g., storage, CPU, memory, network bandwidth) by recommending improvements.
  • High-Volume CDC Implementation: Develop and execute strategies for high-volume data replication and efficient log-based Change Data Capture (CDC).

Job description


Hi,

Job Title: HVR Engineer
Location: Dallas, TX (Remote)
Client: Client/Telecommunication

Job Description:
Core Responsibilities
• Platform Management: Install, configure, and upgrade HVR (now Fivetran HVR) software, including the Hub, agents (HVAs), and associated components, across source and target systems.
• Connection & Replication Setup: Establish and manage data source connections for diverse databases (e.g., Oracle, SQL Server, SAP HANA, PostgreSQL, MySQL) and cloud platforms (e.g., Snowflake, Databricks, BigQuery, Redshift). Configure robust replication channels, defining source/target locations, selecting tables, and setting up data transformations.
• Performance Optimization: Fine-tune HVR configurations to maximize data replication performance, including adjusting batch sizes, parallelization, and network settings. Proactively identify and address system capacity bottlenecks (e.g., storage, CPU, memory, network bandwidth) by recommending improvements.
• High-Volume CDC Implementation: Develop and execute strategies for high-volume data replication and efficient log-based Change Data Capture (CDC).
• Operational Health: Ensure HVR agents are running optimally and maintaining reliable connectivity to all source and target endpoints.

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