Azure Data Engineer

We are seeking a skilled Azure Data Engineer with a minimum of 2 years of experience to join our dynamic data team. The ideal candidate will have a strong background in SQL, Microsoft Azure, data warehousing, data modelling and ETL processes, with hands-on experience in Databricks, OLAP, and Azure Synapse Analytics. You will play a key role in architecting, designing, and implementing scalable data solutions that drive business insights and support analytics initiatives.

Key Responsibilities:

• Design, develop, and maintain robust data pipelines and ETL processes on the Azure platform.

• Collaborate with data scientists, analysts, and business stakeholders to deliver end-to-end data solutions.

• Build and optimize data warehousing solutions using Azure Synapse Analytics and other Azure data services.

• Develop and maintain scalable data models and database structures with solid principles in database design.

• Implement and manage Databricks notebooks and clusters for efficient big data processing and analytics.

• Work with OLAP technologies to enhance data aggregation, reporting, and analysis.

• Ensure data quality, integrity, and security across different data sources.

• Monitor and troubleshoot data pipelines and optimize performance.

• Document data flow, architecture, and processes for knowledge sharing and compliance.

Required Qualifications and Skills:

• Minimum 2 years of hands-on experience as a Data Engineer with a focus on the Microsoft Azure ecosystem.

• Proficient in SQL querying, database design, and optimization.

• Strong experience with Azure Data Platform services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Blob Storage, and Azure SQL Database.

• Experience designing and building data warehouses or data marts.

• Knowledge of ETL/ELT tools and methodologies.

• Familiarity with OLAP cubes and multidimensional data models.

• Experience with big data technologies and frameworks like Apache Spark on Databricks.

• Ability to work with structured and unstructured data.

• Strong problem-solving skills and attention to detail.

• Excellent communication skills and ability to collaborate with cross-functional teams.

Desirable Skills:

• Experience with Power BI or other BI tools.

• Familiarity with data governance and security best practices.

• Knowledge of Python, Scala, or other scripting languages.

• Cloud certifications like Microsoft Certified: Azure Data Engineer Associate.