Data Engineer

Responsibilities:

Develop and optimize storage solutions on Microsoft Azure, ensuring data availability, scalability, and reliability.
Automate data-related jobs, processes, and workflows to streamline data delivery.
Collaborate closely with cross-functional teams, including data scientists, analysts, and developers, to understand data requirements and support their data-related needs.
Design and maintain data models and architecture, enabling efficient data consumption by business applications and analytical tools.
Ensure data quality, integrity, and security throughout the data lifecycle.
Troubleshoot and promptly resolve data-related issues, performance bottlenecks, and system failures.
Research new data sources, third-party platforms, and data engineering best practices.
Stay current with the latest data engineering and cloud computing trends, particularly in the Azure ecosystem.
Assist Data Scientists with general analysis and dashboards, as needed.

Qualifications:

3-5 years of relevant Data Engineering, Software Engineering, and/or Analytics experience.
Proved experience with Azure cloud solutions, preferably through your work portfolio and Azure certifications.
Strong proficiency in Azure Data Factory, Azure Storage, and other relevant Azure services.
Extensive experience designing and implementing automated data pipelines, ETL processes, and data workflows.
Familiarity with data warehousing concepts, modeling, and integration techniques.
Expert in integrating cloud solutions with external API sources and knowledgeable in creating in-house API solutions that meet our needs.
Excellent problem-solving abilities and a track record of handling complex data engineering challenges.
Strong communication skills and the ability to collaborate effectively with multidisciplinary teams.

Key Skills: