We are seeking a skilled Data Engineer to join our team on a 1-year consulting assignment based in Sweden. The ideal candidate is a hands-on technical expert with strong Python skills deep experience in the Azure ecosystem and the ability to deliver high-quality solutions with minimal onboarding.
Tasks
Key Responsibilities
- Develop maintain and optimize data pipelines integrations and APIs.
- Work within the Azure cloud environment leveraging services such as Azure Data Factory Databricks Functions Storage and related tools.
- Implement and support ETL/ELT workflows data lake architectures and real-time or near real-time data processes.
- Collaborate with cross-functional teams to define requirements and deliver pragmatic scalable solutions.
- Troubleshoot and resolve data-related issues in a fast-paced environment.
Requirements
Required Skills & Experience
- Strong proficiency in Python and hands-on experience working in Azure.
- Solid understanding of data engineering concepts including ETL/ELT orchestration data lakes and streaming/real-time processing.
- Experience with APIs integration patterns and cloud-native data services.
- Background working with large-scale enterprise or industrial environments is a plus.
- Ability to work independently take ownership and deliver results under tight timelines.
We are seeking a skilled Data Engineer to join our team on a 1-year consulting assignment based in Sweden. The ideal candidate is a hands-on technical expert with strong Python skills deep experience in the Azure ecosystem and the ability to deliver high-quality solutions with minimal onboarding.Tas...
We are seeking a skilled Data Engineer to join our team on a 1-year consulting assignment based in Sweden. The ideal candidate is a hands-on technical expert with strong Python skills deep experience in the Azure ecosystem and the ability to deliver high-quality solutions with minimal onboarding.
Tasks
Key Responsibilities
- Develop maintain and optimize data pipelines integrations and APIs.
- Work within the Azure cloud environment leveraging services such as Azure Data Factory Databricks Functions Storage and related tools.
- Implement and support ETL/ELT workflows data lake architectures and real-time or near real-time data processes.
- Collaborate with cross-functional teams to define requirements and deliver pragmatic scalable solutions.
- Troubleshoot and resolve data-related issues in a fast-paced environment.
Requirements
Required Skills & Experience
- Strong proficiency in Python and hands-on experience working in Azure.
- Solid understanding of data engineering concepts including ETL/ELT orchestration data lakes and streaming/real-time processing.
- Experience with APIs integration patterns and cloud-native data services.
- Background working with large-scale enterprise or industrial environments is a plus.
- Ability to work independently take ownership and deliver results under tight timelines.
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