Data Automation Engineer
3 weeks ago
InDebted is changing the world of consumer debt collection for good. We’ve disrupted the traditional debt collection industry by providing businesses with a better way to support overdue customers to get back on track. Our solution is product-led, driven by AI and ML, and places customer experience at the core. We’re fully remote, with a team of over 300 people living and working all around the world. Now is an incredible time to join the team as we continue on our mission to help millions of consumers resolve debt, better.
As a data automation engineer, you will play a pivotal role in automating data transfer processes. This entails identifying existing processes, and proposing solutions, developing, implementing, testing and maintaining automated solutions.
As part of our Research and Development team, you will collaborate closely with other software engineers, analytics engineers and systems specialists, as well as cross-functional teams to deliver the automations in the business.
Develop Pythonic data transfer solutions to meet business needs across the software lifecycle, including development, implementation, QA, deployment, and maintenance thereof.
Analyze existing business processes, map out workflows, and identify areas for optimization and automation using Python scripts and tools.
Collaborate with cross-functional teams, including IT, Finance, Operations, and Client Success, to understand their specific needs and tailor solutions accordingly.
Manage and optimize cloud infrastructure resources for deploying and scaling containerized applications developed as part of automation solutions.
Stay updated with the latest advancements in automation tools and technologies.
Demonstrable proficiency in Python programming language for the purposes of developing data transfer processes.
Strong aptitude in basic programming and computer science principles.
Excellent verbal and written communication skills to collaborate effectively with cross-functional teams, including articulating technical concepts to a non-technical audience.
Excellent attention to detail and exceptional project management skills.
Bachelor's degree in Computer Science, Engineering, or related field.
Experience with commercial pipeline tools, cloud and/or database infrastructures.
Prior experience working as a technical specialist or developer in the data field.
Familiarity with data structures, modern databasing technologies, visualisation tools and development tools.
Should be relatively self sufficient in proactively identifying planning and executing automation base tasks in a cross departmental environment.
Flexible working - We’re a global, fully remote team passionate about making work, work for you
Flexible paid leave - Our trust-based leave model enables you to choose when you take leave, how much you take, and what you take it for
Uprise - Our EAP Provider supports your physical, social & psychological wellbeing
Remote work set-up - Budget of AUD $750 (or local equivalent) to help you create a working environment that supports your productivity
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