GoHighLevel - Senior Data Engineer - ETL Tools

We are seeking a talented and motivated tech data engineer to join our team who will be responsible for designing, developing, and maintaining our data infrastructure and developing backend systems and solutions that support real-time data processing, large-scale event-driven architectures, and integrations with various data systems.

This role involves collaborating with cross-functional teams to ensure data reliability, scalability, and performance. The candidate will work closely with data scientists, analysts, and software engineers to ensure efficient data flow and storage, enabling data-driven decision-making across the :

• Software Engineering Excellence : Write clean, efficient, and maintainable code using JavaScript or Python while adhering to best practices and design patterns
• Design, Build, and Maintain Systems : Develop robust software solutions and implement RESTful APIs that handle high volumes of data in real-time, leveraging message queues (Google Cloud Pub / Sub, Kafka, RabbitMQ) and event-driven architectures.
• Data Pipeline Development : Design, develop, and maintain data pipelines (ETL / ELT) to process structured and unstructured data from various sources.
• Data Storage and Warehousing : Build and optimize databases, data lakes, and data warehouses (e. g. Snowflake) for high-performance querying.
• Data Integration : Work with APIs, batch, and streaming data sources to ingest and transform data.
• Performance Optimization : Optimize queries, indexing, and partitioning for efficient data retrieval.
• Collaboration : Work with data analysts, data scientists, software developers, and product teams to understand requirements and deliver scalable solutions.
• Monitoring and Debugging : Set up logging, monitoring, and alerting to ensure data pipelines run reliably.
• Ownership and Problem-Solving : Proactively identify issues or bottlenecks and propose innovative solutions to address them.

Requirements :

(ref : hirist.tech)