Data Engineer
hace 2 semanas
Unlock the Power of Data Engineering at SoftwareOne
Are you passionate about developing data projects on Azure? Do you want to expand your knowledge of the Azure platform and contribute to the growth of our Data and AI team?
We are looking for a skilled Data Engineer to join our team and help us unlock the value of technology. As a Data Engineer, you will participate in Data and Machine Learning projects, collaborating with internal teams and stakeholders to design and develop effective and scalable data solutions in the Azure cloud.
Your Key Responsibilities:
- Design and develop data solutions in the Azure cloud, collaborating with internal teams and stakeholders to understand business requirements.
- Implement data pipelines using Azure Data Factory, Azure Databricks, and Azure Fabric, as well as other Azure tools for ingesting, transforming, and loading data from various sources into target systems.
- Create optimized data models to support advanced analytics and BI applications, ensuring data integrity and quality.
- Optimize performance in pipelines and databases, implementing optimization and tuning techniques to improve efficiency and scalability.
- Automate processes using scripts and automation tools for the implementation of data quality and performance optimization techniques.
- Collaborate with cross-functional teams to understand their data needs and deliver effective, business-driven solutions.
- Provide technical support and guidance to other team members in the design, development, and maintenance of Azure cloud data solutions.
- Stay updated on the latest trends and technologies in the field of data engineering and Azure cloud, participating in training and certification activities as needed.
- Promote a data culture within the company, encouraging best practices in the management and use of data for informed decision making.
What We Need:
We are looking for a technical profile in Big Data and AI, with good ability to understand the functional needs of the business. If you have 2 to 4 years of experience working in the data engineering area, we are looking for you.
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