Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform Windows jobs into efficient Airflow workflows and optimise data pipelines.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Growth opportunities, training resources, and a supportive team environment.
- Why this job: Make a real impact by modernising automation processes with cutting-edge technology.
- Qualifications: 5+ years in task automation, strong Python skills, and experience with Apache Airflow.
- Other info: Dynamic role with excellent career advancement and continuous learning opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Note: This is a Sr. Level role!
About the Role-
We are looking for an experienced Senior Airflow Developer with over 5 years of experience to help transition our existing Windows scheduler jobs to Apache Airflow DAGs. In this role, you’ll play a critical part in modernizing and optimizing our task automation processes by converting existing jobs into efficient, manageable, and scalable workflows in Airflow. You will also work on security hardening, implementing data pipelines, and designing ETL processes.
Key Responsibilities-
- Convert Windows Scheduler Jobs to Airflow: Migrate existing Windows-based scheduled jobs into Airflow DAGs, ensuring smooth execution and reliability.
- Develop and Optimize DAGs: Author, schedule, and monitor DAGs (Directed Acyclic Graphs) to handle data workflows, ETL tasks, and various automation processes.
- Programming and Scripting: Use Python as the primary language for Airflow DAGs and task logic, with experience in SQL for data manipulation.
- Set Up and Configure Airflow: Provide comprehensive instructions and configurations for setting up Airflow environments, including deployment, resource allocation, and high availability.
- Security Hardening: Implement security best practices in Airflow, including role-based access control, network security, logging, and data protection.
- Data Pipelines and ETL: Design and implement data pipelines to move, transform, and aggregate data, ensuring data accuracy and performance.
- Troubleshooting and Optimization: Proactively monitor DAGs for performance issues, manage task dependencies, and optimize for performance and reliability.
- Documentation and Knowledge Transfer: Document migration steps, Airflow setup instructions, and security configurations for future reference and knowledge sharing within the team.
Requirements-
- 5+ years of experience in working with scheduling tools, task automation, and job orchestration.
- 5+ experience in Apache Airflow: Experience authoring and managing DAGs, with a solid understanding of Airflow architecture and best practices.
- Experience with Airflow in Azure cloud environment.
- Strong Python Skills: Ability to write clear, maintainable Python code for data workflows and ETL processes.
- SQL Knowledge: Proficiency in SQL for data manipulation within ETL tasks.
- Experience with Windows Scheduler: Familiarity with converting Windows-scheduled jobs to Airflow and handling dependencies.
- Security Awareness: Knowledge of security hardening principles within Airflow, including user roles, network configurations, and logging.
- Problem-Solving Skills: Strong analytical skills to debug and troubleshoot workflow issues and optimize DAGs for performance.
- Communication Skills: Ability to document and communicate setup processes, configurations, and migration steps clearly.
Preferred Qualifications-
- Exposure to Docker and containerization for Airflow deployments.
- Familiarity with DevOps practices and CI/CD tools.
- Knowledge of additional programming languages like Bash, PowerShell, or JavaScript.
What We Offer-
- Growth Opportunities: Opportunities to advance and take on more complex tasks within the automation and data engineering space.
- Collaborative Environment: A supportive team focused on innovation and continuous learning.
- Training and Development: Access to training resources for skill-building and certifications in Airflow, ETL, and cloud platforms.
Senior Airflow Developer employer: iVedha Inc.
Contact Detail:
iVedha Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Airflow Developer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. You never know who might have a lead on that Senior Airflow Developer role you’re after.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experience with Apache Airflow, Python, and any cool projects you've worked on. Let them see how you can bring value to their team.
✨Tailor Your Approach
Make sure to tailor your conversations and presentations to highlight your experience with task automation and data pipelines. Show them you understand their needs and how you can help modernise their processes.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Senior Airflow Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Apache Airflow and task automation. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about transitioning Windows jobs to Airflow and how your background makes you the perfect fit for our team.
Show Off Your Python Skills: Since Python is key for this role, include examples of your coding prowess in your application. We love seeing clear, maintainable code, so feel free to share snippets or projects that demonstrate your abilities!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at iVedha Inc.
✨Know Your Airflow Inside Out
Make sure you brush up on your Apache Airflow knowledge. Be ready to discuss how you've previously authored and managed DAGs, and be prepared to explain the architecture of Airflow. This is a senior role, so demonstrating your expertise will really set you apart.
✨Showcase Your Python Skills
Since Python is key for this role, come prepared with examples of your coding work. You might even want to bring snippets of code that demonstrate your ability to write clear and maintainable scripts for data workflows and ETL processes. This will show that you can hit the ground running.
✨Discuss Security Best Practices
Security hardening is a big part of this job, so be ready to talk about your experience with implementing security measures in Airflow. Discuss role-based access control, network security, and any logging practices you've used. This will highlight your awareness of security principles.
✨Prepare for Problem-Solving Questions
Expect to face some scenario-based questions where you'll need to demonstrate your problem-solving skills. Think of past challenges you've encountered with DAGs or task dependencies and how you optimised them. This will showcase your analytical abilities and practical experience.