Data Engineer – Azure, Databricks, PySpark

We are seeking an experienced Data Engineer with 4 to 8 years of hands-on experience in building scalable data solutions. The ideal candidate will have a strong background in Azure, Databricks, PySpark, and SQL, and will be responsible for designing and implementing robust data pipelines and solutions to support advanced analytics and business intelligence initiatives.

Responsibilities:

• Design, build, and maintain efficient and reliable data pipelines using Databricks and PySpark.
• Develop scalable data solutions and integrations within the Azure ecosystem.
• Write complex SQL queries for data extraction, transformation, and reporting.
• Collaborate with cross-functional teams to gather data requirements and deliver high-quality solutions.
• Optimize data workflows for performance, reliability, and scalability.

Required Skills:

• Proficiency in Azure Data Services (e.g., Azure Data Lake, Azure Data Factory, etc.)
• Strong experience with Databricks and PySpark
• Solid understanding of SQL and database performance tuning