Senior Data Engineer ( Fivetran HVR)

Job Description

Data Engineer (Fivetran HVR)

The Data Engineer (Fivetran HVR) is responsible for designing, developing, supporting, and optimizing enterprise data integration and replication solutions using Fivetran HVR (High Volume Replication). This role enables reliable, secure, and near real-time movement of data across heterogeneous environments, supporting modern analytics, reporting, cloud migration, and data platform initiatives.

The engineer works closely with business, application, database, cloud, and analytics teams to build scalable data pipelines, ensure data quality and consistency, and support enterprise-wide data modernization programs.

Technology Stack

• Data Integration & Replication

• Fivetran HVR (High Volume Replication)

• Change Data Capture (CDC)

• Real-time Data Replication

• Data Pipeline Engineering

• ETL / ELT Development

• Databases

• SQL Server

• PostgreSQL

• SAP HANA

• Cloud & Analytics Platforms

• Azure Data Lake

• Databricks

• Programming & Automation

• SQL

• Python

• Data Engineering Frameworks

• Operations & Monitoring

• Incident and Problem Management Frameworks

Key Responsibilities

• Design, develop, and maintain data integration and replication solutions using Fivetran HVR.
• Implement and support CDC-based data pipelines across on-premises and cloud environments.
• Optimize replication performance, latency, throughput, and data availability.
• Monitor and troubleshoot data pipeline failures, replication issues, and data quality concerns.
• Collaborate with Data Architects, Application Teams, DBAs, Cloud Engineers, and Business Analysts.
• Support cloud data platform initiatives, migrations, and modernization programs.
• Perform root cause analysis for data integration incidents and implement long-term corrective actions.

Required Skills

• 4+ years of experience in Data Engineering, Data Integration, ETL/ELT Development, or Data Platform Engineering.
• Hands-on experience with Fivetran HVR administration, configuration, and troubleshooting.
• Strong understanding of Change Data Capture (CDC), replication concepts, and enterprise data integration patterns.
• Advanced SQL skills and experience working with large-scale relational databases.
• Experience building and supporting cloud-based data platforms and analytics solutions.
• Proficiency in Python and scripting for automation and data processing.
• Experience with Azure, Databricks or similar modern data platforms.
• Experience supporting enterprise-scale production environments and critical business data pipelines.

Preferred Skills

• Knowledge of DataOps, CI/CD, and infrastructure automation practices.
• Experience with data modeling, data warehousing, and dimensional design.
• Familiarity with SAP source systems and enterprise application integrations.
• Experience working in Agile delivery environments.

What You Will Love About Working Here

• We care about all our employees and want them to feel as comfortable as possible. That's why we offer them health insurance from the first days, regardless of the probationary period.

• The gift from the company - Christmas holidays from 25 December to 31 December.

• Сooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an internal policy making the company friendly to military and veterans with the assistance of the Hub.