Azure Data Engineer job description
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What does a Azure Data Engineer do?
The Azure Data Engineer is responsible for designing, implementing, and maintaining data solutions on the Azure platform, enabling organizations to harness the power of their data for better decision-making. This role is vital for optimizing data processing workflows and ensuring data accessibility to various business units.
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What are the Key Responsibilities of Azure Data Engineer
- Design and implement data solutions using Azure services like Azure SQL, Data Factory, and Azure Databricks.
- Develop ETL processes to ingest and transform data from various sources.
- Ensure data quality and consistency through effective data governance practices.
- Collaborate with data scientists and analysts to support their data needs.
- Optimize and maintain existing data pipelines to improve efficiency.
- Implement security measures to protect data in the cloud.
- Monitor data workflows and resolve any issues that arise.
- Document technical solutions and processes for future reference.
What are the Skills and Requirements for a Azure Data Engineer?
- Strong understanding of Azure data services and ecosystem.
- Proficient in SQL, Python or R for data manipulation.
- Experience with ETL tools and data integration platforms.
- Strong problem-solving and analytical skills.
- Ability to collaborate effectively with cross-functional teams.
What are the KPIs to track for Azure Data Engineer?
The Azure Data Engineer's performance is evaluated through the successful deployment of scalable data solutions, minimization of data processing times, and enhancement of data accessibility and reliability.
Data Pipeline Efficiency
Minimize data processing and latency times.
System Reliability
Enhance the uptime and reliability of data solutions.
Data Accessibility
Improve access to data for business stakeholders.
Reports to
Data Architect
Collaborates with
Data Scientists, Business Analysts
Leads
ETL Developers
Are any specific tools or software required for the Azure Data Engineer role?
- Azure SQL Database
- Azure Data Factory
- Azure Databricks
- Power BI
- Data Lake Storage
What is the qualification of Azure Data Engineer?
Bachelor's degree in Computer Science or related field, with 3-5 years of experience in data engineering and Azure ecosystem.
