Azure Data Engineer with Azure Synapse Exp

Azure Data Engineer With Azure Synapse Exp

We are looking for a data engineer with strong experience in Azure and Apache Spark to design and build scalable, high-performance data solutions. The ideal candidate will work on modern cloud data platforms, ensuring reliable data pipelines and supporting analytics and business intelligence needs. Familiarity with Databricks and Collibra will be an added advantage.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure services
• Build and optimize Spark-based data processing applications
• Implement ETL/ELT workflows for batch and real-time data processing
• Work with Azure Data Factory (ADF) or similar tools for orchestration
• Store and manage data in Azure Data Lake (ADLS) or cloud storage systems
• Perform data transformation, cleansing, and validation
• Ensure data quality, governance, and security compliance
• Collaborate with analysis data scientist and business stakeholders
• Monitor, debug, and optimize data workflows
• Required Skills & Qualifications
• Technical Skills
• Strong hands-on experience with Microsoft Azure (ADF, ADLS, Synapse or similar)
• Solid experience in Apache Spark (PySpark preferred)
• Proficiency in Python and SQL
• Experience in designing data pipelines and data models
• Good understanding of data warehousing concepts
• Experience with version control and CI/CD pipelines (e.g., Azure DevOps)
• Nice-to-Have Skills
• Experience with Azure Databricks for distributed data processing
• Exposure to Collibra or similar data governance/catalog tools
• Knowledge of Delta Lake architecture
• Familiarity with streaming technologies (Kafka, Event Hub)
• Experience with BI tools such as Power BI

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.