Azure Databricks Engineer

This role focuses on designing, developing, and maintaining data engineering solutions leveraging Azure and Databricks. The ideal candidate will be responsible for building robust and scalable data pipelines, transforming data, and ensuring data quality for various business needs. This position requires a strong understanding of cloud technologies and data engineering best practices.

Key Responsibilities:

Develop and maintain data pipelines using Azure Databricks.
Design and implement ETL processes for data integration.
Optimize data processing performance and scalability.
Ensure data quality and accuracy through validation and monitoring.
Collaborate with data scientists and business stakeholders to understand data requirements.
Implement data security and governance policies.

Requirements/Qualifications:

Experience with Azure cloud services, including Databricks, Azure Data Factory, and Azure Synapse Analytics.
Proficiency in programming languages such as Python or Scala.
Strong understanding of data warehousing concepts and techniques.
Experience with data modeling and database design.
Familiarity with big data technologies and frameworks.
Excellent problem-solving and communication skills.

About the Company: Ionidea is a technology company specializing in providing innovative solutions to businesses across various sectors. They focus on leveraging cutting-edge technologies to help clients achieve their strategic goals.