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US_East | Application Consultant - DATA INTEGRATION _L3
Apolis
- 🇺🇸 United States
- On-site
- Senior
- 5 hours ago
- $60.00 – $65.50 / hour
- ERP
- Apache Kafka
- Kafka Connect
- Kafka Streams
- Flink
- Microservices
- Java
- Spring Boot
- Docker
- Kubernetes
- Data Modeling
- PostgreSQL
- MySQL
- Oracle
- Devops
- IaC
- Terraform
- CloudFormation
- CI/CD
- GitHub Actions
- Datadog
- New Relic
- Splunk
- Python
5 hours ago
Role Name: Senior Data Integration Engineer
Location: Remote
Possible 3 Month CTH
**Senior Data Integration Engineer**
**About the Role** We are seeking a Senior Data Integration Engineer to join our growing platform team. In this role, you will lead the design and implementation of scalable, real-time data integration pipelines to connect and harmonize diverse Enterprise Resource Planning (ERP) systems across our organization. You will leverage event-driven architectures to ensure seamless, high-throughput, and low-latency data movement between enterprise platforms.
**Key Responsibilities**
- **Pipeline Architecture & Development:** Design, build, and deploy robust, real-time, and batch data pipelines integrating disparate ERP with downstream data lakes and platforms.
- **Event-Driven Systems:** Leverage Apache Kafka, Kafka Connect, and stream processing engines (Kafka Streams or Apache Flink) to process and transform high-volume change data capture (CDC) and transactional data.
- **Service & API Engineering:** Build resilient microservices and integration layers using Java and Spring Boot to orchestrate complex data flows and enterprise APIs.
- **Containerization & Orchestration:** Package applications into Docker containers and manage scalable deployments, service discovery, and container orchestration via Kubernetes.
- **Data Modeling & Storage:** Optimize multi-database environments across relational systems including PostgreSQL, MySQL, SQL Server, and Oracle.
- **DevOps & Automation:** Manage Infrastructure as Code (IaC) using Terraform or AWS CloudFormation, and build automated CI/CD deployment pipelines using GitHub Actions.
- **Observability & Reliability:** Set up end-to-end monitoring, APM, log management, and alerting using tools like DataDog, New Relic, or Splunk to ensure data pipeline health and transactional accuracy.
**Required Qualifications**
- **Core Engineering:** 5+ years of software/data engineering experience with strong proficiency in **Java** (Spring Boot) and **Python**.
US_East | Application Consultant - DATA INTEGRATION _L3 · Apolis