Summary from listing
The Data Engineer will develop and maintain data pipelines supporting analytics and business reporting, build and enhance ETL/ELT processes using cloud-based technologies, validate and troubleshoot data quality, optimize SQL queries, and collaborate with Agile teams on feature delivery and platform enhancements. The role requires 4–5 years of experience in data engineering or related data-focused roles, along with hands-on Python, PySpark, SQL, and cloud data processing experience, plus familiarity with BigQuery, Dataproc, and Cloud Composer.
