At a Glance
- Tasks: Transform Windows jobs into efficient Airflow workflows and optimise data automation processes.
- Company: Join a forward-thinking tech company dedicated to 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 task automation with cutting-edge technology.
- Qualifications: 5+ years in scheduling tools, 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 in Wolverhampton employer: iVedha Inc.
Join a forward-thinking company that values innovation and collaboration, where as a Senior Airflow Developer, you will have the opportunity to lead the transition to modern task automation processes. With a strong focus on employee growth, we offer access to training resources and a supportive environment that encourages continuous learning and professional development. Located in a vibrant area, our workplace fosters a culture of teamwork and creativity, making it an excellent choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Airflow Developer in Wolverhampton
✨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 transitioning Windows Scheduler jobs to Airflow. 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, it shows you’re genuinely interested in joining our awesome team.
We think you need these skills to ace Senior Airflow Developer in Wolverhampton
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 passionate about transitioning Windows jobs to Airflow and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles, especially related to DAG optimization or security hardening. We love seeing how you think on your feet and solve problems!
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. 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 how you've previously converted Windows Scheduler jobs into Airflow DAGs, and be prepared to explain the architecture and best practices of Airflow. This will show that you’re not just familiar with the tool, but that you can leverage it effectively.
✨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 or projects where you've implemented data workflows or ETL processes. This will demonstrate your ability to write clear and maintainable code, which is crucial for the job.
✨Discuss Security Hardening
Security is a big deal in this role, so be ready to talk about your experience with security best practices in Airflow. Discuss how you've implemented role-based access control, network security, and logging in past projects. This will highlight your awareness of security principles and your proactive approach to safeguarding data.
✨Prepare for Problem-Solving Questions
Expect to face some scenario-based questions that test your problem-solving skills. Think of specific instances where you had to troubleshoot workflow issues or optimise DAGs for performance. Sharing these experiences will showcase your analytical skills and your ability to handle challenges effectively.
