Azure Data Engineer (ID: 3031)
Azure Data Engineer (ID: 3031)
Posted on :
04-07-2025
Employer Active
1 Vacancy
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Jobs by Experience
6-8years
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
04-07-2025
Job Description
As an Azure Data Engineer you will:
- Design and develop scalable data processing pipelines using PySpark Spark SQL and Databricks within the Azure ecosystem.
- Work with both SQL and NoSQL databases to enable efficient data ingestion transformation and analysis.
- Implement data solutions using Azure services such as ADLS ADF Unity Catalog Stream Analytics SQL Data Warehouse Cosmos DB and Azure Functions.
- Develop and maintain serverless architectures using ARM templates to deploy infrastructure on Azure.
- Collaborate with cross-functional teams to ensure high-quality data delivery and adherence to enterprise data governance standards.
What You Bring to the Table:
- 6 8 years of professional experience in data engineering working with large-scale data platforms and cloud technologies.
- Strong programming skills in Python and Scala with deep experience in PySpark and Spark SQL.
- Hands-on expertise with Databricks and the broader Microsoft Azure ecosystem.
- Practical experience with SQL and NoSQL databases stream processing and real-time analytics.
- Solid understanding of serverless architecture and infrastructure provisioning via ARM templates.
You should possess the ability to:
- Build and manage robust data pipelines and ETL frameworks for structured and unstructured data.
- Optimize performance across various Azure services to ensure efficient data processing.
- Implement secure reusable and production-grade code within a collaborative agile environment.
- Solve complex data integration and migration problems using modern cloud-native solutions.
- Adapt quickly to project needs and demonstrate ownership of deliverables in a fully onsite role based in Eindhoven Netherlands.
What We Bring to the Table:
- A high-impact cloud-first data engineering environment centered around the latest Azure technologies including Databricks ADF and Cosmos DB.
- Opportunity to contribute to real-time data streaming and advanced analytics solutions in a dynamic collaborative setting.
- Exposure to enterprise-level data architecture and serverless deployments with a focus on innovation and performance.
- A skilled forward-thinking team environment that encourages learning in DevOps Kubernetes/AKS Terraform and AI/ML applications.
Let s Connect
Want to discuss this opportunity in more detail Feel free to reach out.
As an Azure Data Engineer, you will: Design and develop scalable data processing pipelines using PySpark, Spark SQL, and Databricks within the Azure ecosystem. Work with both SQL and NoSQL databases to enable efficient data ingestion, transformation, and analysis. Implement data solutions using Azure services such as ADLS, ADF, Unity Catalog, Stream Analytics, SQL Data Warehouse, Cosmos DB, and Azure Functions. Develop and maintain serverless architectures using ARM templates to deploy infrastructure on Azure. Collaborate with cross-functional teams to ensure high-quality data delivery and adherence to enterprise data governance standards. What You Bring to the Table: 6 8 years of professional experience in data engineering, working with large-scale data platforms and cloud technologies. Strong programming skills in Python and Scala, with deep experience in PySpark and Spark SQL. Hands-on expertise with Databricks and the broader Microsoft Azure ecosystem. Practical experience with SQL and NoSQL databases, stream processing, and real-time analytics. Solid understanding of serverless architecture and infrastructure provisioning via ARM templates. You should possess the ability to: Build and manage robust data pipelines and ETL frameworks for structured and unstructured data. Optimize performance across various Azure services to ensure efficient data processing. Implement secure, reusable, and production-grade code within a collaborative, agile environment. Solve complex data integration and migration problems using modern, cloud-native solutions. Adapt quickly to project needs and demonstrate ownership of deliverables in a fully onsite role based in Eindhoven, Netherlands. What We Bring to the Table: A high-impact, cloud-first data engineering environment centered around the latest Azure technologies, including Databricks, ADF, and Cosmos DB. Opportunity to contribute to real-time data streaming and advanced analytics solutions in a dynamic, collaborative setting. Exposure to enterprise-level data architecture and serverless deployments, with a focus on innovation and performance. A skilled, forward-thinking team environment that encourages learning in DevOps, Kubernetes/AKS, Terraform, and AI/ML applications. 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
Key Skills
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