Senior Azure Data Engineer (ID3566)

STAFIDE

Job Location:

Eindhoven - Netherlands

Monthly Salary: Not Disclosed

Experience Required: 8-10years

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

As a Senior Azure Data Engineer you will:

Design develop and maintain scalable data pipelines and data processing frameworks on the Azure cloud platform
Build and optimize batch and real-time data processing solutions using Databricks and PySpark (Structured Streaming & Batch)
Develop robust data ingestion pipelines using Azure Event Hub Event Grid and Azure Data Lake Storage (ADLS)
Implement serverless and event-driven architectures using Azure Functions and other Azure-native services
Design and manage data storage solutions using SQL and NoSQL databases
Support data transformation and analytics workflows using Azure SQL Data Warehouse / Synapse
Implement infrastructure automation and provisioning using Terraform
Collaborate with cross-functional teams to design efficient and secure data solutions aligned with business requirements
Ensure data platform reliability performance optimization and scalability

What You Bring to the Table:

810 years of experience in data engineering and cloud-based data platform development
Strong hands-on expertise in Microsoft Azure data ecosystem
Advanced programming skills in Python
Experience working with SQL and NoSQL databases
Strong expertise in Databricks and PySpark (Structured Streaming and Batch Processing)
Hands-on experience with Azure Data Lake Storage (ADLS) Event Hub Event Grid Azure Functions and SQL Data Warehouse
Experience designing serverless and event-driven data architectures
Knowledge of Terraform for infrastructure as code (theoretical understanding required; practical experience preferred)
Experience with Azure Data Factory and ARM Templates
Knowledge of Kubernetes and Google Cloud Platform
Exposure to Machine Learning and Artificial Intelligence workflows

You Should Possess the Ability to:

Architect and implement scalable cloud-native data engineering solutions
Develop efficient real-time and batch data processing pipelines
Optimize data storage transformation and retrieval processes for performance and reliability
Implement infrastructure automation and maintain reproducible environments
Collaborate effectively with data scientists analysts and platform teams
Troubleshoot and resolve complex data pipeline and integration issues
Ensure data governance security and compliance within cloud environments

What We Bring to the Table:

Opportunity to work on modern cloud-based data engineering platforms built on Microsoft Azure
Exposure to large-scale data processing real-time streaming and serverless architectures
A collaborative engineering environment focused on innovation and scalable data solutions
Opportunities to work with advanced analytics machine learning and AI-driven use cases
Continuous learning and growth in cloud big data and modern data engineering practices

Lets Connect

Want to discuss this opportunity in more detail Feel free to reach out.

Recruiter: Asha Krishnan

Phone:; Extn :146

Email:

LinkedIn: Skills:

As a Senior Azure Data Engineer you will: Design develop and maintain scalable data pipelines and data processing frameworks on the Azure cloud platform Build and optimize batch and real-time data processing solutions using Databricks and PySpark (Structured Streaming & Batch) Develop robust data ingestion pipelines using Azure Event Hub Event Grid and Azure Data Lake Storage (ADLS) Implement serverless and event-driven architectures using Azure Functions and other Azure-native services Design and manage data storage solutions using SQL and NoSQL databases Support data transformation and analytics workflows using Azure SQL Data Warehouse / Synapse Implement infrastructure automation and provisioning using Terraform Collaborate with cross-functional teams to design efficient and secure data solutions aligned with business requirements Ensure data platform reliability performance optimization and scalability What You Bring to the Table: 810 years of experience in data engineering and cloud-based data platform development Strong hands-on expertise in Microsoft Azure data ecosystem Advanced programming skills in Python Experience working with SQL and NoSQL databases Strong expertise in Databricks and PySpark (Structured Streaming and Batch Processing) Hands-on experience with Azure Data Lake Storage (ADLS) Event Hub Event Grid Azure Functions and SQL Data Warehouse Experience designing serverless and event-driven data architectures Knowledge of Terraform for infrastructure as code (theoretical understanding required; practical experience preferred) Experience with Azure Data Factory and ARM Templates Knowledge of Kubernetes and Google Cloud Platform Exposure to Machine Learning and Artificial Intelligence workflows You Should Possess the Ability to: Architect and implement scalable cloud-native data engineering solutions Develop efficient real-time and batch data processing pipelines Optimize data storage transformation and retrieval processes for performance and reliability Implement infrastructure automation and maintain reproducible environments Collaborate effectively with data scientists analysts and platform teams Troubleshoot and resolve complex data pipeline and integration issues Ensure data governance security and compliance within cloud environments What We Bring to the Table: Opportunity to work on modern cloud-based data engineering platforms built on Microsoft Azure Exposure to large-scale data processing real-time streaming and serverless architectures A collaborative engineering environment focused on innovation and scalable data solutions Opportunities to work with advanced analytics machine learning and AI-driven use cases Continuous learning and growth in cloud big data and modern data engineering practices Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Hema Murali Phone:; Extn :148 Email: LinkedIn: