Azure Data Engineer

Role & responsibilities

Azure Data Engineer job description

As an Azure Data Engineer, the candidate is expected to be specializing in designing, implementing, and managing large-scale data solutions on the Microsoft Azure cloud platform. They possess expertise in various aspects of data engineering like data storage, data integrations, analytics etc using Azure data services. Ideal candidate will have a strong background in data engineering, Azure cloud services and data processing technologies.

# Requirements:
1. 5+ years of experience in data engineering, preferably on Microsoft Azure. This will increase with senior positions as other DE roles we have.
2. Strong knowledge of Azure cloud services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage.
3. Experience with data processing technologies, such as Apache Spark, Apache Hadoop, and SQL.
4. Strong understanding of data modeling, data warehousing, and data governance.
5. Experience with data security, compliance, and regulatory requirements.
6. Strong programming skills in languages such as Python, Scala, or Java.
7. Experience with agile development methodologies and version control systems such as Git
8. Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect expert.
9. Experience with containerization technologies such as Docker.
10. Knowledge of data visualization tools, such as Power BI, Tableau etc
11. Experience in machine learning and AI technologies will be added advantage.

Soft Skills:

• Problem-solving: Solve complex data problems effectively.
• Communication: Communicate clearly with both technical and non-technical team members.
• Attention to detail: Pay close attention to detail to ensure accuracy.
• Adaptability and learning: Stay up to date with new technologies and trends.
• Teamwork: Collaborate well with others for project success.

Leadership and mentorship: Take on leadership roles and mentor junior team members for growth.