Hadoop Job in Vienna

In this role, you will administer our Big Data environment based on Apache Hadoop in the AWS cloud, optimize data pipelines, and support Data Engineers in selecting appropriate services.

In this role, you administer and optimize the Big Data environment on Apache Hadoop, manage services like Kafka and Flink, while advising Data Engineers and implementing IaaC via Terraform.

In this role, you will analyze data from pre-systems, model and implement scalable ELT/ETL processes, and work in a big data environment using technologies such as Apache Hadoop and SQL.

In this role, you will administer our Big Data environment based on Apache Hadoop in the AWS cloud, manage services like Kafka and Flink, and advise Data Engineers on the best Hadoop services for business use cases.

In this role, you process and structure complex datasets to enable data-driven decisions. You automate ETL processes and create meaningful data visualizations for stakeholders.

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 administrate our Big Data environment based on Apache Hadoop in the AWS cloud, optimize systems, manage Kafka and Flink, and advise Data Engineers on suitable Hadoop services.

In this role, you will administer our Big Data environment on Apache Hadoop, optimize data streams using Kafka and Flink, and advise our Data Engineers on suitable service selections.

In this role, you will administrate our Big Data environment based on Apache Hadoop in the AWS Cloud, manage Kafka, Flink, and other services, and optimize workloads through advising and troubleshooting.

In this role, you will design robust data pipelines and develop scalable ETL solutions to enhance data quality and support data-driven decision-making in a fast-paced environment.

In this role, you will develop robust data pipelines and ETL solutions to support data-driven decisions, collaborating closely with data scientists and stakeholders.

Designs and develops Snowflake and Azure Data Factory data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems. Integrates data from various sources, including...

Interacting with the customer and understanding his business needs and processes. Use case reflection together with the customer to find the best use case to apply Data Science / Machine Learning. Analyzing and understanding the provided data and...

Analyze and prepare data:  from the pre-systems for further processing. Model and map scalable ELT/ETL flows: Batch processing Streaming Interface role:  between Data Analysts and Data Scientists to streamline data usage. Enrich data and load into big...