Job Title: Azure Data Engineer Job Summary
An Azure Data Engineer designs builds and maintains scalable data solutions on Microsoft Azure. The role focuses on data ingestion transformation storage and analytics to support business intelligence reporting and advanced analytics.
Key Responsibilities
-
Design and develop data pipelines using Azure services such as Azure Data Factory Azure Synapse Analytics and Azure Databricks
-
Build and manage data lakes using Azure Data Lake Storage (ADLS)
-
Optimize data storage and performance for large-scale datasets
-
Implement ETL/ELT processes to transform raw data into analytics-ready formats
-
Work with structured and unstructured data from multiple sources
-
Ensure data quality reliability and security
-
Collaborate with data analysts data scientists and stakeholders
-
Monitor troubleshoot and optimize data workflows
-
Implement CI/CD and version control for data solutions
Required Skills
-
Strong experience with Microsoft Azure data services
-
Proficiency in SQL
-
Experience with Python Scala or Spark
-
Hands-on knowledge of:
-
Azure Data Factory
-
Azure Synapse Analytics
-
Azure Databricks
-
Azure Data Lake
-
Understanding of data warehousing and data modeling
-
Experience with big data concepts and distributed systems
Preferred Qualifications
-
Bachelors degree in Computer Science Engineering or related field
-
Microsoft certification (e.g. DP-203: Azure Data Engineer Associate)
-
Experience with Power BI or other reporting tools
-
Knowledge of DevOps CI/CD pipelines and Git
-
Familiarity with streaming tools (e.g. Event Hubs Kafka)
Soft Skills
-
Strong problem-solving abilities
-
Good communication and teamwork skills
-
Ability to work with large complex datasets
-
Attention to detail and performance optimization
Job Title: Azure Data Engineer Job Summary An Azure Data Engineer designs builds and maintains scalable data solutions on Microsoft Azure. The role focuses on data ingestion transformation storage and analytics to support business intelligence reporting and advanced analytics. Key Responsibilities ...
Job Title: Azure Data Engineer Job Summary
An Azure Data Engineer designs builds and maintains scalable data solutions on Microsoft Azure. The role focuses on data ingestion transformation storage and analytics to support business intelligence reporting and advanced analytics.
Key Responsibilities
-
Design and develop data pipelines using Azure services such as Azure Data Factory Azure Synapse Analytics and Azure Databricks
-
Build and manage data lakes using Azure Data Lake Storage (ADLS)
-
Optimize data storage and performance for large-scale datasets
-
Implement ETL/ELT processes to transform raw data into analytics-ready formats
-
Work with structured and unstructured data from multiple sources
-
Ensure data quality reliability and security
-
Collaborate with data analysts data scientists and stakeholders
-
Monitor troubleshoot and optimize data workflows
-
Implement CI/CD and version control for data solutions
Required Skills
-
Strong experience with Microsoft Azure data services
-
Proficiency in SQL
-
Experience with Python Scala or Spark
-
Hands-on knowledge of:
-
Azure Data Factory
-
Azure Synapse Analytics
-
Azure Databricks
-
Azure Data Lake
-
Understanding of data warehousing and data modeling
-
Experience with big data concepts and distributed systems
Preferred Qualifications
-
Bachelors degree in Computer Science Engineering or related field
-
Microsoft certification (e.g. DP-203: Azure Data Engineer Associate)
-
Experience with Power BI or other reporting tools
-
Knowledge of DevOps CI/CD pipelines and Git
-
Familiarity with streaming tools (e.g. Event Hubs Kafka)
Soft Skills
-
Strong problem-solving abilities
-
Good communication and teamwork skills
-
Ability to work with large complex datasets
-
Attention to detail and performance optimization
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