Responsibilities
Collaborate on code and designs with other team members, and proactively ask for help when needed.
Be able to explain in detail the parts of the pipeline you're working in, including their features and how they're deployed.
Be able to explain to others the main problems we're trying to solve for our users.
Participate in sprint reviews, and design meetings.
Deliver code that is clearly written, well structured, with good test coverage, and with updated documentation.
Support you as you use the CI pipelines to deploy features to production.
Qualifications
Data Engineer candidates should be able to deliver on the points covered above, taking into account the following:
You have experience writing production grade Python applications
Have experience working with large scalable systems.
You understand the importance of writing clean, reusable code, and have experience writing unit tests and it's importance - TDD.
Worked in an agile environment and experience in pair programming.
It would be nice if you had experience working in a multi-disciplinary team (ML Engineers, SREs, Product).
Nice to have skill:
Experience working with cloud (AWS/Azure/GCP) or containerised infrastructure (Kubernetes/Docker/Jenkins) would be great, but an understanding of the concepts will help you on your way.
Education
BSc/BA degree in computer science, engineering, or related discipline OR relevant years of experience in required skills.
Remarks
We can only defeat financial crime if we have the right people with the right values in place to do so, and we're committed to investing in passionate people who are experts in their field. No fight against crime is complete without the right values, and we take ours very seriously!
Focus on the Team – You are Collaborative, Human, and Humble
Kaizen – You are Curious, Proactive and Agile
Deliver Results – You are Tenacious, Accountable and Focused
Why Complyadvantage?
We believe ComplyAdvantage is a place that thrives on energy, passion, teamwork, and smarts.
We work with the best Tech Stack to solve real-world problems including: Python, JavaScript, and React
We offer flexible and fully remote working opportunities because we trust you to decide how you work best.
We are proud to be pioneers; transforming the landscape and together we can make a difference.
We have automated AML data generation. This has been a challenging task – requiring a radically different technical architecture, cutting-edge artificial intelligence, and the work of hundreds of developers, data scientists, and financial crime professionals.
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