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.
- Other info: Dynamic role with excellent career advancement and continuous learning opportunities.
- 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.
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
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Airflow projects, including any DAGs you've developed or optimised. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common Airflow scenarios and challenges. Be ready to discuss how you've tackled similar issues in the past, especially around security hardening and data pipelines.
✨Tip Number 4
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 their job search!
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 relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Airflow Developer role. Share your passion for modernising workflows and any specific experiences that relate to the job description.
Showcase Your Technical Skills: Since this role requires strong Python and SQL skills, make sure to mention any relevant projects or experiences where you’ve used these languages. We love seeing practical examples of your work!
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 the role. Plus, it’s super easy!
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 your experience with DAGs, how you've optimised them in the past, and any challenges you've faced. This role is all about transitioning Windows Scheduler jobs, so be prepared to explain your approach to that process.
✨Show Off Your Python Skills
Since Python is key for this role, come armed with examples of your coding work. You might even want to prepare a small code snippet or two that demonstrates your ability to write clear and maintainable Python code for data workflows and ETL processes.
✨Security Matters
This position involves security hardening, so be ready to discuss best practices you've implemented in previous roles. Talk about your experience with role-based access control and how you've ensured data protection in your past projects.
✨Communicate Clearly
Strong communication skills are essential, especially when it comes to documentation and knowledge transfer. Prepare to explain how you've documented migration steps and setup instructions in the past, and be ready to showcase your ability to communicate complex technical concepts clearly.