Azure Data Engineer (ID: 3050)
Azure Data Engineer (ID: 3050)
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6-8years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Design build and maintain robust data pipelines using Azure Data Factory Azure Databricks and PySpark.
- Implement scalable data solutions that support complex business requirements in a cloud environment.
- Collaborate with cross-functional teams to ensure data architecture and infrastructure align with business goals.
- Apply CI/CD principles using Azure DevOps to enable automated deployment monitoring and testing of data pipelines.
- Ensure data reliability performance and security within the Azure ecosystem.
- 6 8 years of experience in data engineering with a strong focus on Azure-based solutions.
- Proven expertise in Azure Data Factory Azure Databricks and PySpark.
- Proficiency in Python for data processing and automation.
- Hands-on experience with Azure DevOps including CI/CD implementation for data pipelines.
- Solid understanding of cloud-based data integration transformation and orchestration patterns.
- Work independently and within a team to solve complex data challenges.
- Translate business needs into technical requirements and scalable data solutions.
- Optimize performance and cost-efficiency of cloud-based data workflows.
- Maintain documentation troubleshoot issues and support production environments effectively.
- A dynamic and collaborative work environment focused on innovation and excellence.
- Opportunities to work with cutting-edge Azure technologies in real-world impactful projects.
- A culture that supports continuous learning upskilling and career growth.
- Flexible work environment and a team-driven atmosphere.
Let s Connect
As an Azure Data Engineer, you will: Design, build, and maintain robust data pipelines using Azure Data Factory, Azure Databricks, and PySpark. Implement scalable data solutions that support complex business requirements in a cloud environment. Collaborate with cross-functional teams to ensure data architecture and infrastructure align with business goals. Apply CI/CD principles using Azure DevOps to enable automated deployment, monitoring, and testing of data pipelines. Ensure data reliability, performance, and security within the Azure ecosystem. What You Bring to the Table: 6 8 years of experience in data engineering with a strong focus on Azure-based solutions. Proven expertise in Azure Data Factory, Azure Databricks, and PySpark. Proficiency in Python for data processing and automation. Hands-on experience with Azure DevOps, including CI/CD implementation for data pipelines. Solid understanding of cloud-based data integration, transformation, and orchestration patterns. You should possess the ability to: Work independently and within a team to solve complex data challenges. Translate business needs into technical requirements and scalable data solutions. Optimize performance and cost-efficiency of cloud-based data workflows. Maintain documentation, troubleshoot issues, and support production environments effectively. What We Bring to the Table: A dynamic and collaborative work environment focused on innovation and excellence. Opportunities to work with cutting-edge Azure technologies in real-world, impactful projects. A culture that supports continuous learning, upskilling, and career growth. Flexible work environment and a team-driven atmosphere. Let s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Asha Krishnan Phone: ; Extn :132 Email: LinkedIn: (13) Asha Krishnan | LinkedIn
Employment Type
Full Time
