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- Tasks: Optimise Apache Airflow for data pipelines and collaborate with teams on Azure services.
- Company: Join a dynamic data engineering team focused on innovative cloud solutions.
- Benefits: Enjoy flexible working options, professional development opportunities, and a collaborative culture.
- Why this job: Be part of cutting-edge projects that enhance data workflows and make a real impact.
- Qualifications: Experience with Apache Airflow, Azure services, and strong Python programming skills required.
- Other info: Mentorship opportunities available to help you grow in your career.
The predicted salary is between 48000 - 84000 £ per year.
Objective:
We are seeking an experienced and highly skilled Apache Airflow Subject Matter Expert (SME) to join our data engineering team. The primary objective of this role is to fine-tune and optimize our existing Airflow environment, ensuring high reliability, performance, and scalability. The ideal candidate will also bring strong expertise in Azure cloud services and Azure DevOps to design, solution, and develop robust orchestration frameworks that support our enterprise-scale data pipelines.
Key Responsibilities:
- Analyze and optimize the current Apache Airflow environment, identifying performance bottlenecks and implementing best practices for orchestration and scheduling.
- Design and implement scalable, modular, and reusable DAGs (Directed Acyclic Graphs) to support complex data workflows.
- Collaborate with data engineers and platform teams to integrate Airflow with Azure Data Factory, Azure Databricks, and other Azure-native services.
- Develop and maintain CI/CD pipelines using Azure DevOps for Airflow DAG deployment, testing, and version control.
- Establish monitoring, ing, and logging standards for Airflow jobs to ensure operational excellence and rapid incident response.
- Provide architectural guidance and hands-on support for new data pipeline development using Airflow and Azure services.
- Document Airflow configurations, deployment processes, and operational runbooks for internal teams.
- Mentor engineers and contribute to knowledge-sharing sessions on orchestration and workflow management.
Required Skills and Qualifications:
- Proven experience as an Apache Airflow SME or Lead Developer in a production-grade environment.
- Strong understanding of Airflow internals, including scheduler, executor types (Celery, Kubernetes), and plugin development.
- Experience with workload orchestration and autoscaling using KEDA (Kubernetes-based Event Driven Autoscaler), and familiarity with Celery for distributed task execution and background job processing, particularly in data pipeline or microservices environments
- Hands-on experience with Azure cloud services, especially Azure Data Factory, Azure Databricks, Azure Storage, and Azure Synapse.
- Proficiency in designing and deploying CI/CD pipelines using Azure DevOps (YAML pipelines, release management, artifact handling).
- Solid programming skills in Python, with experience in writing modular, testable, and reusable code.
- Familiarity with containerization (Docker) and orchestration (Kubernetes) as it relates to Airflow deployment.
- Experience with monitoring tools (e.g., Prometheus, Grafana, Azure Monitor) and log aggregation (e.g., ELK, Azure Log Analytics).
- Strong problem-solving skills and the ability to work independently in a fast-paced, agile environment.
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
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Airflow Optimization Specialist – Azure Data Platform employer: TESTQ Technologies Limited
Contact Detail:
TESTQ Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Airflow Optimization Specialist – Azure Data Platform
✨Tip Number 1
Familiarise yourself with the latest features and best practices of Apache Airflow. Join online forums or communities where Airflow experts share insights, as this will not only enhance your knowledge but also help you network with professionals in the field.
✨Tip Number 2
Gain hands-on experience with Azure services relevant to the role, such as Azure Data Factory and Azure Databricks. Consider setting up a personal project that utilises these tools alongside Airflow to demonstrate your practical skills during interviews.
✨Tip Number 3
Prepare to discuss specific challenges you've faced in optimising Airflow environments. Be ready to share examples of how you identified bottlenecks and implemented solutions, as this will showcase your problem-solving abilities and expertise.
✨Tip Number 4
Engage with our team on social media or professional platforms like LinkedIn. This can help you get noticed and may provide insights into our company culture, which is valuable for tailoring your approach during the interview process.
We think you need these skills to ace Airflow Optimization Specialist – Azure Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Apache Airflow and Azure services. Use specific examples of projects where you've optimised workflows or implemented CI/CD pipelines to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role of Airflow Optimization Specialist. Mention your understanding of orchestration frameworks and how your skills align with the company's needs, particularly in relation to Azure Data Platform.
Showcase Relevant Projects: Include a section in your application that details relevant projects you've worked on. Focus on your contributions to data pipeline development, performance optimisation, and any mentoring roles you've taken on within teams.
Highlight Soft Skills: Don't forget to mention your communication and collaboration skills. The job requires working with cross-functional teams, so providing examples of successful teamwork or knowledge-sharing sessions can strengthen your application.
How to prepare for a job interview at TESTQ Technologies Limited
✨Showcase Your Airflow Expertise
Be prepared to discuss your hands-on experience with Apache Airflow in detail. Highlight specific projects where you optimised Airflow environments, focusing on performance improvements and best practices you've implemented.
✨Demonstrate Azure Knowledge
Since the role requires strong expertise in Azure services, brush up on your knowledge of Azure Data Factory, Azure Databricks, and Azure DevOps. Be ready to explain how you've integrated these services with Airflow in past projects.
✨Prepare for Technical Questions
Expect technical questions related to Airflow internals, such as scheduler types and plugin development. Practise explaining complex concepts clearly, as this will demonstrate your depth of understanding and ability to communicate effectively.
✨Emphasise Collaboration Skills
This role involves working closely with data engineers and platform teams. Prepare examples of how you've successfully collaborated in cross-functional teams, showcasing your communication skills and ability to mentor others.
