Data Engineer: Cloud Pipelines & ETL for Growth
Summary
Build and maintain scalable cloud data pipelines and ETL processes using Python, SQL, and tools like Spark, Airflow, and Databricks across AWS, Azure, and Google Cloud.
Ascendion is seeking a Data Engineer with strong Python development experience to build and maintain scalable data pipelines. You will develop ETL processes, process data from diverse sources, and optimize data workflows across cloud environments such as AWS, Azure, and Google Cloud.
You will work with SQL databases, data warehousing concepts, and modern data tools like Spark, Airflow, and Databricks. This role requires collaboration with analysts and stakeholders to deliver reliable data