Azure Data Engineer

This role focuses on designing, building, and maintaining robust data pipelines and solutions within the Azure cloud environment. The ideal candidate will leverage their expertise in data engineering principles and Azure services to enable data-driven decision-making and support business intelligence initiatives.

Key Responsibilities:

Design and develop scalable data pipelines using Azure Data Factory, Azure Databricks, and other relevant Azure services.
Build and maintain data warehouses and data lakes optimized for performance and reliability.
Implement data quality checks and monitoring processes to ensure data accuracy and integrity.
Collaborate with data scientists and business analysts to understand data requirements and deliver effective solutions.
Optimize existing data infrastructure for efficiency and cost-effectiveness.

Requirements/Qualifications:

Extensive experience (8-12 years) in data engineering roles.
Strong proficiency in Azure cloud services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage.
Experience with data warehousing concepts, data modeling, and ETL processes.
Proficiency in SQL and scripting languages (e.g., Python).
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.

About the Company: Advance Career Solutions is a recruitment firm specializing in connecting talented professionals with leading organizations. They focus on providing tailored staffing solutions across various industries, helping companies build high-performing teams.