Senior Data & Analytics Engineer

Hyperconnect's Platform Department is seeking a Senior Data & Analytics Engineer to join their Data Product Dev Team. This role is crucial in managing and developing data infrastructure for multiple products including Azar and AI/ML services. The team handles massive data volumes (over tens of TB/day) and focuses on creating sustainable data pipelines with quality management.

The position offers an opportunity to work with modern data stack technologies including EKS, BigQuery, Databricks, and Airflow in a cloud-based environment. You'll be responsible for implementing Data Vault modeling, establishing data governance, and developing end-to-end analytics solutions that drive business value.

As a Senior Data & Analytics Engineer, you'll bridge the gap between business and data, transforming complex data into actionable insights. You'll work on data quality automation, BI operations, and develop data applications for monetization and operational efficiency. The role involves collaboration with data scientists, analysts, and various stakeholders to enable fast EDA and data democratization.

The ideal candidate should have extensive experience in data analytics engineering, strong technical skills in SQL and Python, and proven ability to lead data modeling and pipeline operations. You'll be working in a hybrid environment in Seoul, contributing to a global technology company that values engineering excellence and data-driven decision making.

This position offers the unique opportunity to work with global-scale data, implement cutting-edge data technologies, and make significant impact on business outcomes through data engineering solutions. The role also includes opportunities for military service exception program for eligible candidates.

Join us if you're passionate about solving complex data challenges, implementing modern data architectures, and driving business success through data-driven solutions in a global technology company.