At Qloo, we are looking for an experienced Data Engineer to help evolve and scale our modern cloud-based data platform. As a Data Engineer, you will design, build, and operate pipelines that move data from external vendors, internal systems, and public sources into our S3-based data lake and downstream services.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- Experience with Python and distributed data processing using Spark (PySpark) on EMR or a similar environment.
- Hands-on experience with core AWS data services, including S3, AWS Glue, EMR, Athena/Hive, and RDS.
- Experience building and operating workflows in Airflow (MWAA experience is a plus).
- Strong SQL skills and familiarity with data modeling concepts for analytics and APIs.
- Solid understanding of data quality practices (testing, validation frameworks, monitoring/observability).
- Comfortable working in a collaborative environment, managing multiple projects, and owning systems end-to-end.
Benefits
- Competitive salary
- Benefits package, including health insurance, retirement plan, and paid time off
- Flexible work arrangements (remote and hybrid options)
- Healthy respect for work-life balance