
Azure Data Engineer Lead Professional
7 days ago
The ideal candidate for this role is a seasoned data engineer with extensive experience in designing, building and maintaining large-scale data engineering projects on Azure.
Key Responsibilities:- Create and implement scalable data pipelines using Azure Data Factory, Databricks and PySpark technologies.
- Collaborate closely with cross-functional teams to integrate diverse data sources into centralized data repositories.
- Develop data models ensuring consistency and integrity across the organization.
- Work with data scientists to design and develop machine learning models leveraging skills in data manipulation and processing.
- Implement robust data quality checks to ensure compliance with industry standards.
- Bachelor's degree in Computer Science or related field with at least 5+ years of experience in data engineering.
- Hands-on experience with ELT (Extract, Load, Transform), data modeling and integration & ingestion.
- Strong understanding of data processing and manipulation with skills in GITHUB, Action and Azure DevOps.
- Experience with SonarQube, PyTest and other relevant tools is an advantage.
This role offers a unique opportunity to work with cutting-edge technologies and collaborate with a team of experts in the field. If you are passionate about data engineering and looking to take your career to the next level, we encourage you to apply.
Additional Information:We are committed to fostering a culture of innovation and collaboration. As a member of our team, you will have access to ongoing training and development opportunities to help you grow and succeed in your role.
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