AWS Glue Jobs in Germany

In this role, you will develop backend systems in Python on AWS, tackle challenges such as scalability and reliability, and be responsible for the architecture, implementation, and monitoring of your systems.

In this role, you will build a central data platform from scratch, integrate decentralized systems into a robust data lake architecture, and implement ETL/ELT pipelines along with data governance standards.

In this role, you will design scalable ETL pipelines using Databricks and PySpark, analyze large datasets with SQL and Python, while ensuring high data quality and governance standards.

In this role, you will enhance the data platform and design Data Lakehouse architectures. You will develop data pipelines using tools like Airflow and NiFi and integrate source systems, such as SAP, via APIs.

In this role, you design, implement, and monitor AWS data pipelines and components, develop scalable data architectures, and continuously enhance data quality according to DevOps standards.

In this role, you will develop data pipelines using Python and AWS, automate data processes, and create data visualizations and reports to generate valuable insights.

In this role, you develop cloud-native data architectures, implement data pipelines using Python and AWS services, and advise data scientists on the operationalization of ML frameworks.

In this role, you will develop cloud-native backend solutions, create data visualizations, and automate data processes while implementing data pipelines using technologies like Python and AWS.

In this role, you design and implement cloud-native data pipelines using technologies like Python, Apache Spark, and AWS, while creating new data structures and conducting data analyses.

In this role, you will develop scalable ETL/ELT data pipelines to integrate SAP systems with modern cloud platforms like Databricks and Snowflake, optimizing data movements for quality and efficiency.

In this role, you will develop robust ETL pipelines using Databricks and PySpark, analyze complex datasets with SQL, and lead data engineering projects while ensuring quality and compliance.

In this role, you will develop data architectures and perform migrations of modern databases while creating BI reports and dashboards to support analyses for the cloud environment.

In this role, you will develop data pipelines for processing and storing data, integrate data from various sources, and optimize data processing workflows for reporting purposes.