Data Platform Reliability Engineer (d/f/m)
- Employer
- Henkel
- Location
- Düsseldorf, North Rhine Westphalia, Germany
- Salary
- Competitive
- Closing date
- Nov 21, 2024
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- Discipline
- Physical Sciences, Engineering, Information Technology
- Position Type
- Full Time
- Job Type
- Other
- Organization Type
- Other Corporate
Job Details
Dare to make an impact?
YOUR ROLE
- Ensuring high availability and performance of data services by monitoring and troubleshooting issues proactively
- Managing data pipelines and workflows using Azure Data Factory to orchestrate data movement and transformation
- Implementing security measures such as encryption and access control to protect sensitive data stored in Azure services
- Optimizing costs by right-sizing resources, implementing auto-scaling, and leveraging Azure Cost Management tools
- Collaborating with data architects and developers to design and implement scalable and efficient data solutions on Azure
- Integrating Azure Databricks with other Azure services like Azure Data Lake Storage and Azure SQL Database for efficient data processing and storage
- By focusing on these responsibilities and leveraging platform services like Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, and Azure Monitor, you can effectively support data operations and drive value from Azure's data platform for your organization
YOUR SKILLS
- Excellent university degree in computer science, information systems, technical engineering or comparable disciplines
- Minimum of 6 years of experience in consulting for data and analytics use cases, ideally in enterprise scale data warehouse or data lake deployments experience preferred
- Hands-on experience in software development like infrastructure as code (terraform) or pyspark or python or powershell
- Be familiar with agile development methodology Service management or project lead experience for analytical products or BI implementation projects
- Broad experience with cloud-based data and analytical technologies and experience with hybrid cloud deployments, Azure preferred
- Very good knowledge and consulting experience in modern data platform architecture and concepts, i.e. data mesh, modern data warehouse
- Good moderation and negotiation skills including very good practical knowledge of agile methodology
- Ability to drive innovation and to solve complex tasks in a dynamic and challenging environment
- Effective communication skills
- Fluent in English
At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We welcome all applications across different genders, origins, cultures, religions, sexual orientations, disabilities, and generations.
Company
WE ARE PIONEERS AT HEART FOR THE GOOD OF GENERATIONS
Our purpose "Pioneers at heart for the good of generations" unites what we stand for, how we work, and forms the basis for our strategy.
The pioneering spirit of our company founder, Fritz Henkel, is what continues to differentiate us and unites Henkel employees worldwide. The ambition and motivation to work together on the solutions of tomorrow. Today. Every day. We do this not only for ourselves, but also for future generations, because we share a common responsibility.
Building on a strong legacy of more than 145 years, we are leading the way to reimagine and improve life every day. Today and for generations to come. Through our innovative and sustainable brands and technologies, across our teams around the world. Henkel holds leading positions in both industrial and consumer businesses: Our portfolio includes well-known hair care products, laundry detergents, fabric softeners as well as adhesives, sealants, and functional coatings.
Worldwide locations and an international culture shape our global footprint.
Henkel products and technologies are available worldwide. With employees from 124 nations and locations around the world, we achieve a strong presence both in mature and emerging markets.
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