Azure Data Engineer (US-based)

We are seeking an Azure Data Engineer (US-based) to join our team and play a key role in building and maintaining business intelligence infrastructures for our customers.

Responsibilities:

Design, develop, and maintain scalable and secure data pipelines using Azure Data Lake, Synapse Serverless, Synapse Pipelines, and Apache Spark.
Implement data quality checks and data transformations to ensure reliable and accurate data for reporting and analysis.
Design and build data models for efficient data storage and retrieval in Azure Synapse Analytics.
Develop and implement CI/CD pipelines for automated deployment and testing of data pipelines.
Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and translate them into technical solutions.
Identify and evaluate new technologies and solutions, including Microsoft Fabric, for potential integration into customer data platforms.
Stay up-to-date with the latest advancements in Azure data services and cloud technologies.
Document data pipelines, workflows, and design decisions for knowledge sharing and future maintenance.

Requirements:

Proven experience with Azure Data Lake, Synapse Serverless, Synapse Pipelines, and Apache Spark.
Strong understanding of data modeling, data quality, and ETL/ELT processes.
Experience with CI/CD pipelines and DevOps principles.
Excellent communication and collaboration skills.
Ability to work independently and as part of a team.
Strong problem-solving and analytical skills.
Experience with Python, SQL, and other relevant programming languages.
Demonstrated interest and initial exploration of Microsoft Fabric and its potential applications.

Desired Skills:

Experience with Azure Data Factory.
Knowledge of cloud security best practices.
Experience with machine learning and data science concepts.
Experience with Power BI for data visualization and reporting (a plus).

Real Dynamics jobs

Azure Data Engineer