Apache Parquet Jobs in Germany

In this role, you will develop a comprehensive data platform, design the architecture for data pipelines, and optimize performance and queries while closely collaborating with the CTO and research teams.

In this role, you will develop the entire data platform, from data ingestion through storage to querying, scaling and optimizing complex systems using Python, TypeScript, and PostgreSQL.

In this role, you will develop scalable data infrastructures on AWS, optimize data pipelines with Kinesis and Lambda, and support teams in using Amazon SageMaker Unified Studio independently.

In this role, you will develop robust data pipelines using Python and Spark, orchestrate them with Apache Airflow, and implement infrastructure as code to optimize a cloud-based data platform.

In this role, you will develop efficient data pipelines using Python and Spark, orchestrate them with Apache Airflow, and document data models with SQL and dbt for our analytics workloads.

In this role, you will be responsible for data integration and provision, develop robust ETL processes, and ensure stable data supply operations within the S-DAP.

In this role, you will develop stable data loading and transformation processes, ensure data connectivity for AI applications, and monitor data supply through error analysis and automation.

In this role, you will develop high-throughput database integrations and optimize real-time data replication while tackling complex challenges in distributed architectures.

In this role, you develop a new data platform in Azure, integrate modern technologies like Databricks and PySpark, and ensure the operational stability of the data warehouse.

In this role, you will develop ETL/ELT pipelines and integrate new data sources, collaborating closely with various teams, while utilizing modern Azure technologies to ensure stable data processes.

In this role, you will develop and optimize data pipelines using Python and Spark, model and enhance the data warehouse, integrate new data sources, and automate workflows with Apache Airflow.

In this role, you develop and optimize data pipelines using Python and Spark, automate data flows with Apache Airflow, and integrate new data sources into our data warehouse.

In this role, you will develop data pipelines using Python and Spark, automate data flows with Apache Airflow, optimize a data warehouse, and integrate new data sources while collaborating closely with business units.