Azure Data Engineer

Key Responsibilities:

Data Solution Design & Implementation:
Design, build, and implement data pipelines and data integration workflows using Azure services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
Develop and maintain scalable and high-performance data architectures for large-scale data ingestion, processing, and storage.
Work with business stakeholders to understand data requirements and translate them into efficient data models and solutions.

Data Engineering & ETL Development:
Build and manage ETL (Extract, Transform, Load) processes using Azure Data Factory and other relevant Azure tools.
Implement data transformation, cleansing, and enrichment processes to ensure high-quality and accurate data.
Integrate data from various sources including relational databases, APIs, flat files, and cloud-based platforms.