Azure Data Engineer
United Software Group
- Dallas, Texas, United States
- Dallas, Texas, United States
À propos
(Hybrid Onsite Role-3 Days Onsite Per Week) Duration : Fulltime Teams Meeting Interview Job Description: 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 analysts, data scientists, 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
Compétences linguistiques
- English
Avis aux utilisateurs
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