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L2 Support Engineer – CDC Debezium, Kafka Support
Mumbai
About Us
We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.
Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.
Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.
At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity
How We Work?
Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.
We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.
Job Description
Production Support & Monitoring
Provide L2 support for enterprise CDC platform operating in a 24x5 shift model.
Monitor Debezium connectors, Kafka brokers, Kafka Connect clusters, and data replication pipelines.
Perform proactive monitoring of CDC jobs and identify potential issues before SLA breach.
Track connector health, lag, replication latency, throughput, and error rates.
Validate end-to-end data movement between source systems and Kafka topics
Incident Management
Analyze and resolve production incidents related to CDC pipelines.
Investigate connector failures, replication issues, Kafka consumer lag, and message delivery problems.
Perform root cause analysis (RCA) and document findings.
Coordinate with application, database, infrastructure, and cloud teams during major incidents.
Ensure adherence to incident, problem, and change management processes.
Kafka & Debezium Administration
Monitor Kafka clusters, topics, partitions, brokers, and consumer groups.
Support deployment, restart, and recovery activities for Debezium connectors.
Troubleshoot snapshot failures, schema evolution issues, offset management, and connector rebalancing.
Validate CDC configurations for Oracle, SQL Server, MySQL, and Salesforce integrations.
Support Kafka Connect and Confluent ecosystem components.
Operational Excellence
Execute daily platform health checks and readiness assessments.
Maintain operational runbooks, support documentation, and troubleshooting guides.
Participate in change implementation, release validation, and production deployments.
Work closely with L3 engineering teams for complex issue resolution.
Ensure adherence to defined SLAs and operational KPIs.
Primary Skills (Mandatory)
Strong hands-on experience with Apache Kafka and Kafka Connect.
Experience supporting Debezium CDC connectors in production environments.
Good understanding of:
Oracle CDC
MSSQL CDC
MySQL CDC
Salesforce data integration concepts
Knowledge of:
Kafka topics, partitions, replication factors
Consumer groups and offset management
Kafka cluster monitoring and troubleshooting
Connector lifecycle management
Experience using Linux/Unix environments.
Strong SQL skills for data validation and issue investigation.
Monitoring & Support Tools
Experience with operational monitoring tools such as Prometheus, Grafana, Control Center, Splunk, ELK, or equivalent.
Log analysis and troubleshooting experience.
Understanding of alerting, ticketing, and ITSM platforms (ServiceNow, Jira, etc.).
Cloud & Data Platform Exposure (Preferred)
Exposure to Google Cloud Platform (GCP).
Experience with BigQuery.
Familiarity with high-availability and distributed system architectures.
Job Requirement
Production Support & Monitoring
Provide L2 support for enterprise CDC platform operating in a 24x5 shift model.
Monitor Debezium connectors, Kafka brokers, Kafka Connect clusters, and data replication pipelines.
Perform proactive monitoring of CDC jobs and identify potential issues before SLA breach.
Track connector health, lag, replication latency, throughput, and error rates.
Validate end-to-end data movement between source systems and Kafka topics
Incident Management
Analyze and resolve production incidents related to CDC pipelines.
Investigate connector failures, replication issues, Kafka consumer lag, and message delivery problems.
Perform root cause analysis (RCA) and document findings.
Coordinate with application, database, infrastructure, and cloud teams during major incidents.
Ensure adherence to incident, problem, and change management processes.
Kafka & Debezium Administration
Monitor Kafka clusters, topics, partitions, brokers, and consumer groups.
Support deployment, restart, and recovery activities for Debezium connectors.
Troubleshoot snapshot failures, schema evolution issues, offset management, and connector rebalancing.
Validate CDC configurations for Oracle, SQL Server, MySQL, and Salesforce integrations.
Support Kafka Connect and Confluent ecosystem components.
Operational Excellence
Execute daily platform health checks and readiness assessments.
Maintain operational runbooks, support documentation, and troubleshooting guides.
Participate in change implementation, release validation, and production deployments.
Work closely with L3 engineering teams for complex issue resolution.
Ensure adherence to defined SLAs and operational KPIs.
Primary Skills (Mandatory)
Strong hands-on experience with Apache Kafka and Kafka Connect.
Experience supporting Debezium CDC connectors in production environments.
Good understanding of:
Oracle CDC
MSSQL CDC
MySQL CDC
Salesforce data integration concepts
Knowledge of:
Kafka topics, partitions, replication factors
Consumer groups and offset management
Kafka cluster monitoring and troubleshooting
Connector lifecycle management
Experience using Linux/Unix environments.
Strong SQL skills for data validation and issue investigation.
Monitoring & Support Tools
Experience with operational monitoring tools such as Prometheus, Grafana, Control Center, Splunk, ELK, or equivalent.
Log analysis and troubleshooting experience.
Understanding of alerting, ticketing, and ITSM platforms (ServiceNow, Jira, etc.).
Cloud & Data Platform Exposure (Preferred)
Exposure to Google Cloud Platform (GCP).
Experience with BigQuery.
Familiarity with high-availability and distributed system architectures.
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