3 job openings found.
SCAYLE·Hamburg
In this role, you will develop scalable AWS and Kubernetes environments using Terraform, automate CI pipelines, and secure infrastructure through monitoring, risk management, and security measures.
SCAYLE·Berlin
In this position, you will develop Infrastructure as Code with Terraform for AWS and Kubernetes, optimize CI/CD pipelines in GitLab CI, and implement security controls while leading monitoring initiatives and enforcing security policies.
Woodmark Consulting Ag·Grasbrunn
In this role, you will independently develop data platforms, create technical concepts, and implement them in cloud architectures while collaborating closely with clients and team members.
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Boehringer Ingelheim·Ingelheim am Rhein
In this role, you will develop scalable data products and pipelines using SAP and non-SAP data, work with Snowflake and dbt, and optimize data models for data-driven management in the Finance department.
XL2 GmbH·Heilbronn, Ingolstadt
In this role, you design tailored ETL and ELT processes in AWS for the Volkswagen Group, create data models, and ensure data quality for analytical applications.
Taktile GmbH·Berlin
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.
PALTRON GmbH·Munich
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.
Indegene·Karlsruhe
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.
Westhouse Consulting GmbH·Berlin
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.
Westhouse Consulting GmbH·Frankfurt
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.
Ernst & Young GmbH·Mannheim
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.