Pyspark Jobs in Austria

In this role, you analyze reporting logic and document source-to-target mappings while building and maintaining data warehouse pipelines to Microsoft Fabric, including data extraction and data model development.

In this role, you will develop Databricks workspaces, manage, optimize, and document the data platform, while coordinating with various teams for platform requirements and governance.

In this role, you will develop powerful data pipelines and ETL/ELT processes using Databricks and Google BigQuery, work on cloud integrations, and foster data modeling in the team to solve complex data challenges.

In this role, you will build scalable ETL/ELT processes on Google Cloud, optimize BigQuery queries, and implement data architectures and real-time processing using Dataflow and Pub/Sub.

In this role, you design and implement cloud-based infrastructures for data-processing workloads in AWS, automate processes, and support engineering teams in optimizing platform services and best practices.

In this job, you integrate data and develop Data and BI solutions on Microsoft platforms such as Power BI and Azure to create tailored reports and promote sustainable data architectures.

In this position, you will develop scalable data pipelines for integrating data from SAP and non-SAP systems, design data models, and optimize cloud and lakehouse platforms.

In this role, you will develop innovative data architectures and optimize ELT/ETL processes. You will create data models to support enterprise-wide analyses and collaborate closely with stakeholders from various areas.

In this role, you will develop scalable data pipelines, integrate data from various systems, and optimize data quality and performance for BI and analytics solutions.

In this role, you will design and build scalable data pipelines, integrate data from various sources, and optimize data architectures. You will also ensure data quality and security while collaborating closely with IT and business teams.

In this role, you will develop machine learning models to solve real business problems and work with complex datasets while closely collaborating with interdisciplinary teams.

In this role, you will develop ML-based solutions and integrate them with the Data Engineering team into existing systems while ensuring scalability and performance of the models.

In this role, you will develop ML-based solutions, integrate models into existing systems, and optimize workflows while applying MLOps practices like CI/CD and automated monitoring.