Data Engineer - DataMart

• Design, develop, and maintain data marts to support business analytics and reporting needs • Build and optimize ETL/ELT pipelines using scalable data processing frameworks • Translate business requirements into dimensional models (star/snowflake schemas) • Ensure data quality, consistency, and reliability across datasets • Optimize query performance and data storage for efficient downstream consumption • Collaborate with business stakeholders (Sales, Finance, Operations) to deliver actionable datasets • Work closely with Data Analysts and BI teams to enable self-service analytics • Implement data governance, documentation, and best practices across the data layer • Monitor and troubleshoot pipeline performance and data issues Requirements • Bachelor’s degree or above in Computer Science, Software Engineering, Statistics, or a related field • 3+ years of experience in data engineering or data warehouse development, with hands‑on experience building data marts or data warehouses end to end • Strong experience in data mart / data warehouse modeling (Kimball methodology preferred) • Hands‑on experience with Databricks (Spark, PySpark) • Solid experience in AWS data services (e.g., S3, Glue, Redshift, Lambda – depending on stack) • Proficiency in SQL and at least one programming language (Python preferred) • Experience building and maintaining ETL/ELT pipelines • Understanding of data partitioning, indexing, and performance tuning • Strong English proficiency required; spoken Chinese proficiency advantageous to support collaboration with regional colleagues and external stakeholders #J-18808-Ljbffr