Data Integration Engineer at Openkyber Georgia

Openkyber; Peachtree City (GA); On-site; USD 90,000 - 120,000; Full time

Job summary

Openkyber in Atlanta is seeking a Data Integration Engineer to join onsite for a 12-month engagement, focusing on Kafka and Azure integrations and data pipelines.

You will develop Kafka consumers, build connectors, and integrate pipelines with Azure Monitor while collaborating with cross-functional teams to ensure data quality and reliability. Strong programming and observability tool experience are required.

Qualifications

• Strong programming skills in Java, Python, or Scala.
• Experience with Kafka Streams, Consumer API, and Schema Registry.
• Proficiency in Azure SDKs and event-driven architecture.
• Hands-on experience with Splunk, Prometheus, and PromQL.
• Familiarity with log data formats and ingestion pipelines.

Responsibilities

• Develop Kafka consumers and implement minimal data transformations.
• Integrate data pipelines with Azure Monitor and other observability tools.
• Build and maintain connectors using Kafka Connect and REST APIs.
• Collaborate with cross-functional teams to ensure data quality and reliability.

Skills

Java/Python/Scala

Kafka Streams

Consumer API

Schema Registry

Azure SDKs

Event-driven architecture

Splunk/Prometheus/PromQL

Log ingestion pipelines

Tools

Kafka Connect

REST APIs

Job description

Data Integration Engineer job at Openkyber. Georgia.

Role Name: Data Integration Engineer (Kafka & Azure)

Location: Atlanta, GA (Onsite)

Duration: 12 Months

Key Responsibilities

• Develop Kafka consumers and implement minimal data transformations.
• Integrate data pipelines with Azure Monitor and other observability tools.
• Build and maintain connectors using Kafka Connect and REST APIs.
• Collaborate with cross-functional teams to ensure data quality and reliability.

Required Skills

• Strong programming skills in Java, Python, or Scala.
• Experience with Kafka Streams, Consumer API, and Schema Registry.
• Proficiency in Azure SDKs and event-driven architecture.
• Hands‑on experience with Splunk, Prometheus, and PromQL.
• Familiarity with log data formats and ingestion pipelines.

Good to Have

• Experience with Splunk HEC integration.
• Kafka Connect plugin setup and customization.
• Exposure to CI/CD and infrastructure automation.