Senior Azure Data Engineer (ID: 2932)
Senior Azure Data Engineer (ID: 2932)
Posted on :
09-05-2025
Employer Active
1 Vacancy
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Jobs by Experience
10years
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
09-05-2025
Job Description
As a Senior Azure Data Engineer you will:
- Design develop and maintain complex and scalable data pipelines using Azure Data Factory and Azure Data bricks.
- Build and optimize largescale data processing solutions using PySpark and Data bricks.
- Collaborate with crossfunctional teams to understand business data requirements and deliver efficient data solutions.
- Implement CI/CD pipelines using Azure DevOps to support automated testing integration and deployment.
- Develop and maintain robust ETL solutions in Python for efficient data extraction transformation and loading.
- Monitor troubleshoot and continuously improve data pipeline performance and reliability.
- Ensure data security and compliance with organizational standards and best practices.
- Stay up to date with the latest cloud data engineering practices tools and trends in the Azure ecosystem.
What You Bring to the Table:
- 10 years of experience in data engineering or a similar field with a strong focus on cloudbased solutions.
- Mandatory certification: Microsoft DP203: Data Engineering on Microsoft Azure.
- Azure Data Factory for orchestrating and automating data workflows.
- Azure Data bricks and PySpark for processing and managing large data volumes.
- Python programming in dataintensive environments.
- CI/CD implementation using Azure DevOps.
- Writing and optimizing SQL queries for handling large datasets.
You should possess the ability to:
- Work independently and proactively in solving complex data challenges.
- Translate business requirements into scalable and efficient data architecture.
- Communicate effectively with technical and nontechnical stakeholders.
- Document processes clearly and contribute to knowledgesharing initiatives.
What We Bring to the Table:
- An opportunity to work on largescale enterpriselevel data platforms using the latest Azure technologies.
- A collaborative forwardthinking environment focused on continuous learning and improvement.
- Support for certifications and professional growth within a cloudnative data engineering space.
- Exposure to innovative projects across various business domains
As a Senior Azure Data Engineer, you will: Design, develop, and maintain complex and scalable data pipelines using Azure Data Factory and Azure Data bricks. Build and optimize large-scale data processing solutions using PySpark and Data bricks. Collaborate with cross-functional teams to understand business data requirements and deliver efficient data solutions. Implement CI/CD pipelines using Azure DevOps to support automated testing, integration, and deployment. Develop and maintain robust ETL solutions in Python for efficient data extraction, transformation, and loading. Monitor, troubleshoot, and continuously improve data pipeline performance and reliability. Ensure data security and compliance with organizational standards and best practices. Stay up to date with the latest cloud data engineering practices, tools, and trends in the Azure ecosystem. What You Bring to the Table: 10+ years of experience in data engineering or a similar field, with a strong focus on cloud-based solutions. Mandatory certification: Microsoft DP-203: Data Engineering on Microsoft Azure. Azure Data Factory for orchestrating and automating data workflows. Azure Data bricks and PySpark for processing and managing large data volumes. Python programming in data-intensive environments. CI/CD implementation using Azure DevOps. Writing and optimizing SQL queries for handling large datasets. You should possess the ability to: Work independently and proactively in solving complex data challenges. Translate business requirements into scalable and efficient data architecture. Communicate effectively with technical and non-technical stakeholders. Document processes clearly and contribute to knowledge-sharing initiatives. What We Bring to the Table: An opportunity to work on large-scale, enterprise-level data platforms using the latest Azure technologies. A collaborative, forward-thinking environment focused on continuous learning and improvement. Support for certifications and professional growth within a cloud-native data engineering space. Exposure to innovative projects across various business domains
Employment Type
Full Time
Key Skills
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