Azure Data Engineer

Job Description

We are in an exciting phase of transforming our Azure Data Platform to enable Advanced Analytics, consolidating existing data, expanding outcomes, and optimizing functionality. In this context, we are looking for an Azure Data Engineer to join our dynamic team.

Role Responsibilities:

• Design, build, and optimize data pipelines for the Azure Data Platform.
• Develop and refine ETLs using Azure Data Factory and Databricks for the Azure Data Platform.
• Contribute to the enhancement of our Data Platform framework and methodology.
• Assist in optimizing costs and operations for Azure Data Platform services.

Qualifications

Key Skills:

• At least 4 years of hands-on experience with Azure Data Factory, Databricks, Azure Synapse, Azure Analysis Services, Azure Log Analytics, and Azure Data Lake.
• Proficiency in Python/PySpark and SQL.
• Practical knowledge of Azure Cloud-based data platform best practices and standards.
• Strong understanding of data warehouse and data lake concepts and architecture.
• Excellent implementation skills.
• A strong development and testing mindset, with the ability to perform thorough technical reviews.
• Ability to break down complex problems and provide accurate estimates, ensuring predictability.

Desirable Skills:

• Knowledge of Data Vault modeling.
• Experience with Power BI.
• Relevant certifications are a plus.

Competencies & Behaviors:

• Experience with Data, Analytics, or BI projects.
• Assertive and objective communication skills.
• Analytical and problem-solving mindset.
• Teamwork and collaboration-oriented.

Nice-to-Have Traits:

• Learning mindset and adaptability.
• Results-driven approach.
• Value-focused perspective.
• Proactive attitude.

Additional Information

If you're passionate about shaping the future of data platforms and eager to take on challenges in a collaborative environment, we’d love to hear from you!