Senior Data Engineer: Spark, ETL & Azure Cloud
JobCubby · Negros Occidental, Philippines ·
- Seniority
- Senior
- Category
- Data engineering
Designs, builds, and maintains data marts, ETL pipelines, and analytical assets on Azure cloud, ensuring the reliability, scalability, and performance of data platforms with monitoring and alerting for data quality. Core stack: Spark (Scala preferred, or PySpark/Java), Hadoop, Kafka, Impala, and SQL.
Amadeus is seeking a Data Engineer 3 to design, build, and maintain data marts, ETL pipelines, and analytical assets. You will ensure reliability, scalability, and performance of our data platforms while implementing monitoring and alerting to uphold data quality.
The ideal candidate has hands-on production experience with Scala (preferred) or PySpark/Java, and deep knowledge of big data ecosystems including Spark, Hadoop, Kafka, Impala, and SQL.