CarbyneTech - Data Engineer
2 weeks ago
Description
- Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL Server.
- Implement ETL/ELT processes to ingest, transform, and load data from various sources (on-prem, cloud, APIs).
- Optimize data storage and retrieval using Azure Data Lake, Delta Lake, and SQL-based solutions.
- Collaborate with tech-leads to define data models, schemas, and follow standards.
- Monitor and troubleshoot data workflows, ensuring reliability and performance.
- Work with DevOps to Implement CI/CD pipelines for data engineering solutions using Azure DevOps.
- Ensure data security and compliance with enterprise and regulatory standards.
Required Skills & Qualifications
- 7+ years of experience in data engineering, with at least 3 years in Azure cloud environments.
- Strong proficiency in Azure Data Factory, Azure Databricks, Azure SQL Server, and Azure Data Lake.
- Solid understanding of SQL, Python, and Spark for data processing and transformation.
- Experience with Delta Lake.
- Familiarity with CI/CD practices and tools (e. Azure DevOps).
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving and communication skills
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