Apache Spark Jobs in Austria

In this role, you will develop innovative AI solutions, analyze complex datasets, and implement robust ML pipelines using technologies such as TensorFlow and PyTorch to address business challenges.

In this role, you will integrate structured and unstructured data into cloud systems, develop ETL processes using PySpark, model data in a Medallion architecture, and create analytical reports in Microsoft Fabric.

In this role, you will develop tailored machine learning models using Python for customer business needs, implement them in processes, analyze data, present findings, and advise clients on their technical ecosystems.

In this role, you will develop complex data processing pipelines, define modern data architectures, and work with cloud technologies, particularly Microsoft Azure, to deliver data-driven solutions across various industries.

In this role, you will design data models, build robust ETL pipelines, optimize data structures in cloud environments, and ensure data integrity according to governance standards.

In this role, you develop customized AI solutions for clients, train models, conduct workshops, and analyze business processes to identify AI potential and automation opportunities.

In this role, you will design scalable data architectures on Azure and Databricks, build ETL pipelines, optimize data models for BI and Data Science, and ensure efficient data integration solutions.

In this role, you will design and implement a scalable data architecture, develop data integration pipelines, and document standards and processes for effective data processing.

In this role, you will design cloud architectures, promote DevOps practices, and assist development teams in implementing and automating CI/CD pipelines while monitoring system health.

In this role, you will develop real-time data pipelines using NiFi, Kafka, and Spark, optimize workflows, document processes, and collaborate on migrating pipelines to Databricks.

In this role, you will develop robust multi-cloud architectures, lead technical projects, and translate customer requirements into scalable solutions using Python, Golang, and Kafka.

In this role, you will develop data pipelines and semantic models, realizing innovative data products like digital twins while collaborating with international teams on challenging IT projects.

In this role, you design and implement scalable real-time and batch data pipelines using Databricks on Azure, collaborating with various teams and driving continuous improvements.

In this role, you enhance our scalable data platforms, integrate new features, and automate deployments while collaborating closely with Data Engineers and Data Scientists.

In this role, you will develop scalable data architectures, integrate new data sources, and design innovative data processing applications for mobility data while collaborating closely with data scientists.