Azure Data Engineer

Design, build, and maintain data pipelines using Azure services. Develop and optimize solutions using Azure Synapse Analytics (pipelines, Spark, SQL pools). Implement ETL/ELT processes for ingesting and transforming data from multiple sources.

Requirements

• Strong hands-on experience with Microsoft Azure data services
• Proven experience with Azure Synapse Analytics (pipelines, Spark, SQL)
• Proficiency in SQL and Python
• Experience with data warehousing concepts and dimensional modeling
• Experience with ETL/ELT design and implementation
• Familiarity with Azure Data Lake Storage (ADLS)
• Understanding of distributed data processing (e.g., Spark)
• Experience with version control and CI/CD practices (Azure DevOps preferred)
• Strong analytical and problem-solving abilities
• Good communication and stakeholder interaction skills
• Ability to work independently and within a team
• Attention to detail and focus on quality

Tagged as: Python, SQL