Data Engineer
Build technologies that matter
This is us
Qinshift and Avenga merge together to start a new era of technology that matters. Leveraging the power of innovations, we are on a journey to shape the future of work, and we are inviting you to co-create it with us.
This is the job
We're looking for experienced Data Engineers of middle and senior levels for our Data Talent Pool. Even if there isn't any immediate position available, we highly value the expertise and skills of qualified candidates. Rest assured, we will consider your profile for future projects and opportunities as they arise.
This is you
- Proven experience as a Data Engineer, preferably with a focus on Azure technologies.
- Hands-on experience with Azure services such as Azure Data Factory, Azure SQL Database, Azure Databricks, and Azure Synapse Analytics.
- Strong proficiency in SQL, Python, or other programming languages used for data manipulation and analysis.
- Experience with data modeling, ETL development, and data warehousing concepts.
- Excellent problem-solving skills and ability to work independently as well as part of a team.
- Strong communication skills and ability to collaborate effectively with stakeholders.
This is your role
- Design and implement scalable data pipelines and ETL processes using Azure services.
- Develop and maintain databases and data warehouses on Azure platforms.
- Collaborate with data scientists and analysts to understand data requirements and deliver comprehensive data solutions.
- Optimize and tune data pipelines for performance and reliability.
- Ensure data security, integrity, and compliance with regulatory requirements.
- Troubleshoot data-related issues and implement effective solutions.
We take pride in the diverse skills and character of our teams, welcoming everyone to apply and contribute to our collective strength.
- Locations
- Multiple locations
- Remote status
- Hybrid Remote
- Profile
- Data & Analytics
- Seniority
- Senior-level
- Technology
- Microsoft Database
Data Engineer
Build technologies that matter
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