Senior Azure Data Engineer
3 weeks ago
Key Responsibilities :
- Design, develop, and maintain robust data pipelines and ETL processes using Azure Data Factory, Databricks, and related Azure services.
- Architect and implement scalable data solutions using Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL Database.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and deliver solutions that drive insights and innovation.
- Manage and optimize data ingestion and transformation processes for batch and streaming data.
- Ensure data quality, consistency, and security by implementing best practices and governance policies.
- Develop and enforce standards for coding, performance, and data management practices.
- Utilize Databricks for advanced data processing and machine learning model integration.
- Monitor and troubleshoot data pipeline performance issues to ensure system reliability and uptime.
- Stay updated with the latest Azure and data engineering technologies to continuously improve processes.
Required Qualifications :
- Azure Data Engineering Associate Certification (DP-203).
- Databricks Data Engineering Certification.
- 5+ years of hands-on experience in data engineering, with a focus on Azure-based solutions.
- Strong proficiency in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
- Expertise in Databricks, Spark, and Python or Scala for big data processing.
- Proficiency in Azure DevOps for CI/CD pipelines and version control.
- Solid understanding of data modeling, data warehousing, and data architecture principles.
- Experience with streaming data solutions using Azure Event Hub or Azure Stream Analytics.
- Strong knowledge of data security, access controls, and compliance frameworks.
- Excellent problem-solving and communication skills
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