Senior SnapLogic & Data Integration Engineer

TechDigital Group; United States; Vor Ort; USD 90.000 - 120.000; Vollzeit

Zusammenfassung

An established industry player is seeking a skilled Data Integration Support Engineer with extensive experience in Snaplogic and a strong background in Big Data technologies. In this dynamic role, you will tackle complex integration issues, collaborate with technical teams, and develop standard operating procedures to streamline processes. Your expertise will be crucial in supporting data engineering initiatives, including legacy migrations and pipeline modernization. Join a forward-thinking company that values innovation and offers a collaborative environment where your contributions will make a significant impact on data integration projects.

Qualifikationen

• 6+ years of experience as a Data Integration Support Engineer.
• Strong skills in Snaplogic and troubleshooting integration issues.

Aufgaben

• Troubleshoot integration issues and coordinate with L3 team for complex problems.
• Create and maintain SOPs, including troubleshooting guides.

Kenntnisse

Data Integration

Snaplogic

Tableau

Big Data Technologies

Spark

Kafka

Data Lakes

Legacy Migration

Delta Lake

Pipeline modernization

Troubleshooting

Communication Skills

Tools

Snaplogic

Tableau

Spark

Kafka

Jobbeschreibung

Java, Python, Spring Boot

• Bachelor's degree in computer science, Computer Engineering, or a related field, with 5+ years of software development experience across the full SDLC, including design, configuration, testing, debugging, implementation, and support of large-scale, business-centric applications.
• Minimum 3+ years of development experience with Java 8+, Python, or Go, along with 4+ years of experience working with web technologies such as HTML, CSS, JavaScript, React, and Next.js.
• Demonstrated experience in Agile development, application design, software development, testing, object-oriented programming, complex data structures, CI/CD, system testing, and test automation.
• Experience building applications for cloud environments, including OpenShift and Docker containers, along with hands-on exposure to monitoring and performance tools such as Splunk, Dynatrace, and ELK.
• Strong analytical, communication, and problem-solving skills, with the ability to share ideas, concerns, and recommendations clearly with technical and business stakeholders.
• Experience in infrastructure, application monitoring, platform stabilization, and investment performance is a plus.