Job Description
Job Title : Azure Data Engineer
Location : Remote
Experience : 5 +Years
Notice Period : 15 Days / Immediate Only
Primary Responsibilities:
- Design, develop, and maintain data storage solutions using Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Build and manage data pipelines for ingestion, processing, and transformation within Azure.
- Create data models to support analytics and reporting requirements.
- Develop and maintain ETL workflows using Azure Data Factory or similar tools.
- Assemble and process large, complex data sets leveraging Azure Data Factory and Azure Databricks.
- Implement data validation, cleansing, and quality assurance processes to ensure accuracy and reliability.
- Ensure data security, governance, and compliance across all data solutions.
- Collaborate with data engineers, architects, and business stakeholders to translate requirements into scalable, reliable Azure data architectures.
Required Skills & Qualifications:
- Strong foundation in Azure Data Engineering concepts and architecture.
- Hands-on experience with Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure SQL.
- Proficient in Python, PySpark, and SQL for data processing and transformation.
- Familiarity with Apache Spark and Big Data technologies.
- Experience with Azure DevOps for CI/CD and pipeline management.
- Strong problem-solving, analytical, and collaboration skills.
- Good communication and stakeholder interaction abilities.
Preferred:
- Prior experience in designing scalable data ingestion frameworks on Azure.
- Exposure to data governance, monitoring, and performance tuning in cloud environments.
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