We are looking for an experienced Data Engineer with strong hands-on Go (Golang) development experience to design, build, and maintain scalable data pipelines and data processing systems.
The ideal candidate will have a strong background in data engineering, Go development, distributed systems, APIs, cloud platforms, and large-scale data processing. The candidate will work closely with software engineers, data scientists, and cross-functional teams to build reliable and high-performance data solutions.
Key Responsibilities
• Design, develop, and maintain scalable and reliable data pipelines using Go/Golang.
• Develop high-performance data processing and ingestion services using Go.
• Build and maintain REST APIs and backend services supporting data platforms and applications.
• Design and implement ETL/ELT pipelines for batch and real-time data processing.
• Work with structured and unstructured data from multiple sources and ensure data quality and consistency.
• Optimize data processing workflows for performance, scalability, and reliability.
• Develop distributed systems and services capable of processing large volumes of data.
• Integrate data pipelines with databases, data warehouses, APIs, and cloud services.
• Implement monitoring, logging, alerting, and troubleshooting mechanisms for data pipelines and services.
• Collaborate with software engineers, data scientists, analysts, and product teams to understand data requirements.
• Participate in architecture discussions and contribute to technical design decisions.
• Develop automated unit, integration, and performance tests.
• Troubleshoot production issues and identify root causes of data and application failures.
• Follow software engineering best practices including Git, CI/CD, code reviews, documentation, and Agile methodologies.
Required Skills
Go / Golang
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