Senior Data Engineer - Data Intelligence , SPX Express
Summary
Designs and maintains scalable data warehouse architectures and ETL pipelines for a logistics company, ensuring high-quality, always-on data for supply-chain operations.
Job Description:
- Data Infrastructure & Architecture: Design, develop, and maintain large-scale, complex data warehouse architectures. You will lead the sourcing of new data streams and ensure our infrastructure is scalable and resilient.
- ETL & Pipeline Automation: Build and monitor robust ETL/ELT pipelines. Drive the automation of data solutions to minimize manual intervention and ensure 'always-on' data availability for the entire logistics chain.
- Governance & Quality: Ensure high data quality and governance standards (Data QA) across all pipelines, aligning with our strategic network goals.
Requirements:
- Bachelor degree or higher in a relevant field of study.
- Minimum 4 years of experience in Data Engineering or Business Intelligence roles.
- Expert-level SQL is mandatory, complemented by experience in PrestoSQL, SparkSQL. You must be comfortable writing complex queries, optimizing performance, and managing large datasets.
- Experience with modern Data Warehouse technologies and ETL tools (e.g., Hive, Airflow, StarRock, ClickHouse)
- Good structural thinker and detail oriented.
- Satisfactory understanding in English.
- Self-driven with willingness to learn and improve.
- Strong sense of responsibility and ability to work in a fast-paced and growth changing environment.