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
Let’s Connect
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Mary Jesima
Phone: +31 20 369 0609 ; Extn : 132
Email:
LinkedIn: