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Azure Data Engineer
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SilverchairUnited StatesDEI Statement At Silverchair, we celebrate and embrace diversity in all its forms. We are committed to fostering an inclusive environment from the moment you consider joining our team. We actively enc
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Principal Engineer I - Lead Data Engineer
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Databricks Data Engineer - Client-Facing Data Solutions
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Senior Data Engineer — Remote AI Data Pipelines
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SlickdealsSan MateoAbout Slickdeals: We believe shopping should feel like winning. That's why 10 million people come to Slickdeals to swap tips, upvote the best finds, and share the thrill of a great deal.
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Remote Senior Data Engineer - Cloud & Data Lake Specialist
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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
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