Azure Architect

Responsibilities:

Design, develop, and implement end-to-end data pipelines using Azure Data Factory.

Orchestrate and automate data workflows with Azure Data Factory to integrate data seamlessly.

Create and maintain data models within Snowflake, ensuring optimal performance and scalability.

Implement data transformation processes to cleanse, enrich, and aggregate data for analytical purposes.

Integrate data from diverse sources into Snowflake for centralized storage and analysis.

Optimize data pipelines and queries for maximum performance, addressing bottlenecks.

Implement data quality checks and validations to ensure accuracy and completeness of the data.

Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders.

Create and maintain comprehensive documentation for data pipelines, data models, and integration processes.

Requirements:

Bachelor's degree in Computer Science, Information Technology, or a related field.

4+ years Proven experience as a Data Engineer with expertise in Azure Data Factory and Snowflake.

Strong SQL skills for data querying and manipulation.

Familiarity with cloud-based data storage and processing technologies.

Experience in designing and optimizing data models for analytical purposes.

Strong problem-solving and analytical skills.

Excellent communication and collaboration skills.